subject:( WordNet)

University of Debrecen

1. Szilágyi, Zsanett. Wordnet .

Degree: DE – TEK – Bölcsészettudományi Kar, 2013, University of Debrecen

► In this paper, I describe the origins of the database, presenting how it developed from a tool providing help to dictionary use through constant changes… (more)

Subjects/Keywords: Wordnet; electronic database

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APA (6^th Edition):

Szilágyi, Z. (2013). Wordnet . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/160056

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Szilágyi, Zsanett. “Wordnet .” 2013. Thesis, University of Debrecen. Accessed December 11, 2019. http://hdl.handle.net/2437/160056.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Szilágyi, Zsanett. “Wordnet .” 2013. Web. 11 Dec 2019.

Vancouver:

Szilágyi Z. Wordnet . [Internet] [Thesis]. University of Debrecen; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2437/160056.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Szilágyi Z. Wordnet . [Thesis]. University of Debrecen; 2013. Available from: http://hdl.handle.net/2437/160056

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Uniwersytet im. Adama Mickiewicza w Poznaniu

2. Kubis, Marek. Język zapytań dla leksykalnej bazy danych typu WordNet .

Degree: 2013, Uniwersytet im. Adama Mickiewicza w Poznaniu

URL: http://hdl.handle.net/10593/6372

► Celem rozprawy jest opracowanie języka zapytań dla leksykalnej bazy danych typu WordNet. W pracy przedstawiono korpus zapytań specyficznych dla wordnetów, które zebrano na potrzeby ewaluacji… (more)

Subjects/Keywords: język zapytań; query language; bazy danych typu WordNet; WordNet-like lexical database; Wordnet

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APA (6^th Edition):

Kubis, M. (2013). Język zapytań dla leksykalnej bazy danych typu WordNet . (Doctoral Dissertation). Uniwersytet im. Adama Mickiewicza w Poznaniu. Retrieved from http://hdl.handle.net/10593/6372

Chicago Manual of Style (16^th Edition):

Kubis, Marek. “Język zapytań dla leksykalnej bazy danych typu WordNet .” 2013. Doctoral Dissertation, Uniwersytet im. Adama Mickiewicza w Poznaniu. Accessed December 11, 2019. http://hdl.handle.net/10593/6372.

MLA Handbook (7^th Edition):

Kubis, Marek. “Język zapytań dla leksykalnej bazy danych typu WordNet .” 2013. Web. 11 Dec 2019.

Vancouver:

Kubis M. Język zapytań dla leksykalnej bazy danych typu WordNet . [Internet] [Doctoral dissertation]. Uniwersytet im. Adama Mickiewicza w Poznaniu; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10593/6372.

Council of Science Editors:

Kubis M. Język zapytań dla leksykalnej bazy danych typu WordNet . [Doctoral Dissertation]. Uniwersytet im. Adama Mickiewicza w Poznaniu; 2013. Available from: http://hdl.handle.net/10593/6372

University of Minnesota

3. Vallabhajosyula, Manikya Swathi. Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings.

Degree: MS, Computer Science, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/200144

► Languages evolve over time. With new technical innovations, new terms get created and new senses are added to existing words. Dictionaries like WordNet which act… (more)

Subjects/Keywords: Hypernym; NLP; Patterns; SemEval; Taxonomy; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vallabhajosyula, M. S. (2018). Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/200144

Chicago Manual of Style (16^th Edition):

Vallabhajosyula, Manikya Swathi. “Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings.” 2018. Masters Thesis, University of Minnesota. Accessed December 11, 2019. http://hdl.handle.net/11299/200144.

MLA Handbook (7^th Edition):

Vallabhajosyula, Manikya Swathi. “Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings.” 2018. Web. 11 Dec 2019.

Vancouver:

Vallabhajosyula MS. Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings. [Internet] [Masters thesis]. University of Minnesota; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11299/200144.

Council of Science Editors:

Vallabhajosyula MS. Hypernym Discovery over WordNet and English Corpora - using Hearst Patterns and Word Embeddings. [Masters Thesis]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/200144

4. Nóbrega, Fernando Antônio Asevêdo. Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2013, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-145948/ ;

► A ambiguidade lexical é considerada uma das principais barreiras para melhoria de aplicações do Processamento de Língua Natural (PLN). Neste contexto, tem-se a área de… (more)

▼ A ambiguidade lexical é considerada uma das principais barreiras para melhoria de aplicações do Processamento de Língua Natural (PLN). Neste contexto, tem-se a área de Desambiguação Lexical de Sentido (DLS), cujo objetivo é desenvolver e avaliar métodos que determinem o sentido correto de uma palavra em um determinado contexto por meio de um conjunto finito de possíveis significados. A DLS é empregada, principalmente, no intuito de prover recursos e ferramentas para diminuir problemas de ambiguidade e, consequentemente, contribuir para melhorias de resultados em outras áreas do PLN. Para o Português do Brasil, pouco se tem pesquisado nesta área, havendo alguns trabalhos bem específicos de domínio. Outro fator importante é que diversas áreas do PLN engajam-se no cenário multidocumento, onde a computação é efetuada sobre uma coleção de textos, todavia, não há relato de trabalhos de DLS direcionados a este cenário, tampouco experimentos de desambiguação neste domínio. Portanto, neste trabalho de mestrado, objetivou-se o desenvolvimento de métodos de DLS de domínio geral voltado à língua Portuguesa do Brasil e o desenvolvimento de algoritmos de desambiguação que façam uso de informações multidocumento, bem como a experimentação e avaliação destes no cenário multidocumento. Para tanto, a fim de subsidiar experimentos, desenvolvimento e avaliação deste projeto, anotou-se manualmente o córpus CSTNews, caracterizado como um córpus multidocumento, utilizando a WordNet de Princeton como repositório de sentidos, que organiza os significados por meio de conjuntos de sinônimos ( synsets) e relações linguísticas entre estes. Foram desenvolvidos quatro métodos de DLS e algumas variações, sendo: um método heurístico (para aferir valores de baseline); variações do algoritmo de Lesk (1986); adaptação do algoritmo de Mihalcea and Moldovan (1999); e uma variação do método de Lesk para o cenário multidocumento. Foram realizados três experimentos para avaliação dos métodos, cujos objetivos foram: determinar o desempenho geral dos algoritmos em todo o córpus; avaliar a qualidade de desambiguação de palavras mais ambíguas no córpus; e verificar o ganho de qualidade da desambiguação ao empregar informação multidocumento. Após estes experimentos, pôde-se observar que o método heurístico apresenta um melhor resultado geral. Contudo, é importante ressaltar que a maioria das palavras anotadas no córpus tiveram apenas um synset, que, normalmente, era o mais frequente, o que, consequentemente, apresenta um cenário mais propício ao método heurístico. Outro fato importante foi que, neste cenário, a diferença de desempenho entre o método de DLS multidocumento e o heurístico é estatisticamente irrelevante. Já para a desambiguação de palavras mais ambíguas, o método heurístico foi inferior, evidenciando que, para a desambiguação de palavras mais ambíguas, são necessários métodos mais sofisticados de DLS. Por fim, verificou-se que a utilização de informação multidocumento auxilia o processo de desambiguação. As contribuições deste trabalho podem ser… Advisors/Committee Members: Pardo, Thiago Alexandre Salgueiro.

Subjects/Keywords: Cenário multidocumento; Desambiguação lexical de sentidos; Disambiguation; Multidocument scenario; Word sense; Word Sense Disambiguation; WordNet; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nóbrega, F. A. A. (2013). Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-145948/ ;

Chicago Manual of Style (16^th Edition):

Nóbrega, Fernando Antônio Asevêdo. “Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento.” 2013. Masters Thesis, University of São Paulo. Accessed December 11, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-145948/ ;.

MLA Handbook (7^th Edition):

Nóbrega, Fernando Antônio Asevêdo. “Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento.” 2013. Web. 11 Dec 2019.

Vancouver:

Nóbrega FAA. Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2019 Dec 11]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-145948/ ;.

Council of Science Editors:

Nóbrega FAA. Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-145948/ ;

5. Cláudia Dias de Barros. Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação.

Degree: 2010, Universidade Federal de São Carlos

URL: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=3389

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Dentre as relações léxico-semânticas mais importantes para a classe dos adjetivos está a antonímia, ou seja, a oposição de sentidos, como em: gordo/magro. A WordNet,… (more)

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Dentre as relações léxico-semânticas mais importantes para a classe dos adjetivos está a antonímia, ou seja, a oposição de sentidos, como em: gordo/magro. A WordNet, uma base de dados lexicais do inglês, que estabelece relações léxico-semânticas e semântico-conceituais (como sinonímia, hiperonímia, respectivamente, etc.) entre as palavras, apresenta também o conceito de antonímia indireta (via sinonímia: obeso=gordo/magro) para os adjetivos. Esse tipo de antonímia ainda não está representada na WordNet.Br (WN.Br), a base de dados para o português do Brasil, e no Thesaurus Eletrônico para o Português do Brasil (TeP), que contém os synsets básicos da WN.Br. Sendo assim, a presente pesquisa tem como objetivo estudar a antonímia nos adjetivos do Português do Brasil (PB), com vistas a uma contribuição para o refinamento do TeP e da base de dados da WN.Br. O estudo é feito tendo como base as ocorrências dos 100 adjetivos mais frequentes no corpus Mac-Morpho, do projeto LacioWeb, que contém artigos jornalísticos de dez cadernos da Folha de São Paulo de 1994 e é composto de 1.167.183 ocorrências. Os adjetivos foram extraídos pelo concordanciador Unitex. Tomam-se por base na pesquisa três perguntas (por que dois adjetivos com significados similares não têm o mesmo antônimo?, se a antonímia é tão importante, por que muitos adjetivos parecem não ter antônimos? e como é estabelecida a antonímia direta?). Visa-se, assim, estabelecer uma rede semântica que possa relacionar a antonímia direta entre adjetivos e a antonímia indireta existente entre os sinônimos de cada adjetivo e seus antônimos, buscando implementá-las no TeP, refinando aí a representação da antonímia.

Among the most important lexical semantic relations to the class of adjectives is antonymy, i. e., opposition of senses as in fat/thin. WordNet, a lexical database for English, both establishes semantic relationships (such as synonymy, hiperonymy, etc.) between words and presents the concept of indirect antonymy (via synonymy: obese=fat/thin) for adjectives. This type of antonymy has not been represented at WordNet.Br yet, the Brazilian Portuguese WordNet, and at Electronic Thesaurus for Brazilian Portuguese (TeP), which contains the WordNet.Br core synsets. Thus, this research aims to study the antonymy in adjectives of Brazilian Portuguese (BP), to contribute to the refinement of the TeP and of WordNet.Brs database. The study takes up the occurrences of the 100 most frequent adjectives in the Mac-Morpho corpus from the LacioWeb project, which contains newspaper articles of Folha de São Paulo of the year 1994 and has 1,167,183 tokens. The adjectives were extracted by the Unitex concordancer. The research is motivated by three questions (when two adjectives have closely similar meanings, why do they not have the same antonym?; if antonymy is so important, why do many descriptive adjectives seem to have no antonym?; and how the direct antonymy can be established?). The main objectives are: to establish a lexical network that relates direct antonymy between adjectives…

Advisors/Committee Members: Oto Araújo Vale.

Subjects/Keywords: Lingüística - processamento de dados; Língua portuguesa - adjetivos; Sinônimos e antônimos; Semântica; WordNet; LINGUISTICA; Adjectives; Antonymy; WordNet; Semantics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Barros, C. D. d. (2010). Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=3389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Barros, Cláudia Dias de. “Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação.” 2010. Thesis, Universidade Federal de São Carlos. Accessed December 11, 2019. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=3389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Barros, Cláudia Dias de. “Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação.” 2010. Web. 11 Dec 2019.

Vancouver:

Barros CDd. Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação. [Internet] [Thesis]. Universidade Federal de São Carlos; 2010. [cited 2019 Dec 11]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=3389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barros CDd. Antonímia nos adjetivos descritivos do Português do Brasil: uma proposta de análise e representação. [Thesis]. Universidade Federal de São Carlos; 2010. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=3389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

6. Graovac, Jelena B., 1979-. Прилог методама класификације текста : математички модели и примене.

Degree: Matematički fakultet, 2016, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:11671/bdef:Content/get

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Računarstvo - Računarska obrada teksta 7 / Computer Science - Text processing

U svetu u kome živimo, internet i digitalni zapis učinili su da ogromne… (more)

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Računarstvo - Računarska obrada teksta 7 / Computer Science - Text processing

U svetu u kome živimo, internet i digitalni zapis učinili su da ogromne količine sirovih podataka postanu dostupne širokoj javnosti. Jedan američki menadžer je još davno izjavio: "Računari su nam obećali fontanu mudrosti, a ovo što smo dobili je poplava podataka" [20]. Sirovi podaci, neadekvatno strukturirani i različitih formata, sadržaja i kvaliteta su retko od koristi. Neophodno ih je pripremiti, analizirati i na osnovu toga doći do informacija i znanja koja na taj način stiču neprocenjivu vrednost. Istraživanje podataka (eng. data mining) je interdisciplinarno polje infor- matike koje se bavi automatskim ili polu-automatskim otkrivanjem znanja u podacima. Njegov osnovni zadatak je netrivijalna ekstrakcija informa- cija iz podataka, i to informacija koje su implicitne, prethodno nepoznate i potencijalno korisne. Koriste se metode koje su u preseku veštačke in- teligencije, mašinskog učenja, statistike i sistema baza podataka [97]. Zadaci koji se rešavaju u okviru Istraživanja podataka mogu biti prediktivni (klasi- fikacija, regresija, analiza vremenskih serija) ili deskriptivni (klasterovanje, sumarizacija, pravila pridruživanja, analiza redosleda, otkrivanje anomalija). U okviru ove doktorske disertacije bavimo se problemom klasifikacije tek- stova na osnovu njihovog sadržaja. Smatra se da je preko 80% dostupnih informacija sačuvano u tekstualnom obliku. Većina informacija je zapisana prirodnim jezikom, odnosno jezikom koji koriste ljudi za svakodnevnu ko- munikaciju. Za očekivati je da će tehnologije automatske obrade podataka zapisanih prirodnim jezikom postati vodeće u svetu. Glavni doprinos di- sertacije ogleda se u predstavljanju novih metoda za klasifikaciju tekstual- nih dokumenata. Prva metoda predstavlja unapredenje metode razvijene u cilju otkrivanja autorstva teksta [38]. Metoda je zasnovana na predstavlja- nju dokumenta kao profila koji sadrži fiksiran broj n-grama bajtova koji se pojavljuju u dokumentu, i meri različitosti pomoću koje se određuje klasa kojoj dokument pripada. Ova metoda je jezički nezavisna i ne zahteva nikakvu prethodnu obradu teksta niti predznanje o sadržaju teksta ili jeziku na kome je tekst napisan. Druga metoda se zasniva na odabranim koncep- tima kao predstavnicima klasa koji se dobijaju iz srpskog wordnet-a, leksičko semantičke mreže za srpski jezik. Deo rezultata iz ove disertacije je sadržan u radovima [23, 27, 22, 21, 56, 26, 25, 24] koji su objavljeni, predati za ob- javljivanje ili su u fazi pripreme. Disertacija je organizovana na sledeći način. U glavi 1 je prikazan uvod u oblast klasifikacije podataka, u okviru koga su prikazane vrste klasifikacije, procena kvaliteta klasifikacije i primeri primene. Poseban osvrt dat je na klasifikaciju tekstualnih dokumenata. Prikazani su različiti načini predstavljanja dokumenata kao jednog od najvažnijiih koraka u procesu klasifikacije. Predočeni su i mnogi problemi i izazovi koji se javlja- ju. Prikazani su korpusi klasifikovanih tekstova na srpskom,…

Advisors/Committee Members: Pavlović-Lažetić, Gordana, 1955-.

Subjects/Keywords: Text Categorization; Natural Language Processing; n-grams; Wordnet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Graovac, Jelena B., 1. (2016). Прилог методама класификације текста : математички модели и примене. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11671/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Graovac, Jelena B., 1979-. “Прилог методама класификације текста : математички модели и примене.” 2016. Thesis, Univerzitet u Beogradu. Accessed December 11, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:11671/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Graovac, Jelena B., 1979-. “Прилог методама класификације текста : математички модели и примене.” 2016. Web. 11 Dec 2019.

Vancouver:

Graovac, Jelena B. 1. Прилог методама класификације текста : математички модели и примене. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2019 Dec 11]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11671/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Graovac, Jelena B. 1. Прилог методама класификације текста : математички модели и примене. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11671/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

7. Vujičić-Stanković, Staša, 1982-. Екстракција информација вођена онтологијама: (модел за српски језик).

Degree: Matematički fakultet, 2017, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:15083/bdef:Content/get

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Рачунарство - Рачунарска обрада текста / Computer Science - Text Processing

Основни задатак ове докторске дисертације је истраживање различитих техника и модела који се примењују… (more)

Subjects/Keywords: Information Extracion; Natural Language Processing; Ontologies; Culinary Domain; WordNet

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APA (6^th Edition):

Vujičić-Stanković, Staša, 1. (2017). Екстракција информација вођена онтологијама: (модел за српски језик). (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:15083/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vujičić-Stanković, Staša, 1982-. “Екстракција информација вођена онтологијама: (модел за српски језик).” 2017. Thesis, Univerzitet u Beogradu. Accessed December 11, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:15083/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vujičić-Stanković, Staša, 1982-. “Екстракција информација вођена онтологијама: (модел за српски језик).” 2017. Web. 11 Dec 2019.

Vancouver:

Vujičić-Stanković, Staša 1. Екстракција информација вођена онтологијама: (модел за српски језик). [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2019 Dec 11]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15083/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vujičić-Stanković, Staša 1. Екстракција информација вођена онтологијама: (модел за српски језик). [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15083/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

8. Chiang , Chia-Che. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.

Degree: Master, Information Management, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606

► The advance of user-generated content (UGC) inspires knowledge sharing among Internet users. A good example is the well-known travel site TripAdvisor.com, which enables users to… (more)

Subjects/Keywords: Latent Dirichlet allocation; Text classification; Word-sense disambiguation; SVM; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chiang , C. (2014). Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chiang , Chia-Che. “Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.” 2014. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chiang , Chia-Che. “Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.” 2014. Web. 11 Dec 2019.

Vancouver:

Chiang C. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chiang C. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Gabriela Betania Hinrichs Conteratto. Adjetivos : uma representação lingüístico-computacional.

Degree: PhD, 2009, Pontifícia Universidade Católica do Rio Grande do Sul

URL: http://tede.pucrs.br/tde_busca/arquivo.php?codArquivo=1868 ;

► A meta principal desta tese é a realização de um estudo descritivo explanatório dos adjetivos predicativos descritivos voltados para o sujeito, tendo em vista a… (more)

Subjects/Keywords: LINGÜÍSTICA APLICADA; LINGÜÍSTICA COMPUTACIONAL; PORTUGUÊS - ADJETIVO; WORDNET; LETRAS

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APA (6^th Edition):

Conteratto, G. B. H. (2009). Adjetivos : uma representação lingüístico-computacional. (Doctoral Dissertation). Pontifícia Universidade Católica do Rio Grande do Sul. Retrieved from http://tede.pucrs.br/tde_busca/arquivo.php?codArquivo=1868 ;

Chicago Manual of Style (16^th Edition):

Conteratto, Gabriela Betania Hinrichs. “Adjetivos : uma representação lingüístico-computacional.” 2009. Doctoral Dissertation, Pontifícia Universidade Católica do Rio Grande do Sul. Accessed December 11, 2019. http://tede.pucrs.br/tde_busca/arquivo.php?codArquivo=1868 ;.

MLA Handbook (7^th Edition):

Conteratto, Gabriela Betania Hinrichs. “Adjetivos : uma representação lingüístico-computacional.” 2009. Web. 11 Dec 2019.

Vancouver:

Conteratto GBH. Adjetivos : uma representação lingüístico-computacional. [Internet] [Doctoral dissertation]. Pontifícia Universidade Católica do Rio Grande do Sul; 2009. [cited 2019 Dec 11]. Available from: http://tede.pucrs.br/tde_busca/arquivo.php?codArquivo=1868 ;.

Council of Science Editors:

Conteratto GBH. Adjetivos : uma representação lingüístico-computacional. [Doctoral Dissertation]. Pontifícia Universidade Católica do Rio Grande do Sul; 2009. Available from: http://tede.pucrs.br/tde_busca/arquivo.php?codArquivo=1868 ;

University of Cincinnati

10. Rawashdeh, Ahmad. Semantic Similarity of Node Profiles in Social Networks.

Degree: PhD, Engineering and Applied Science: Computer Science and Engineering, 2015, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922

► It can be said, without exaggeration, that social networks have taken a large segment of populationby a storm. Regardless of the actual geographical location, of… (more)

▼ It can be said, without exaggeration, that social networks have taken a large segment of populationby a storm. Regardless of the actual geographical location, of socio-economic status, as longas access to an internet connected computer is available, a person has access to the whole world,and to a multitude of social networks. By being able to share, comment, and post on various socialnetworks sites, a user of social networks becomes a "citizen of the world", ensuring presence acrossboundaries (be they geographic, or socio-economic boundaries).At the same time social networks have brought forward many issues interesting from computingpoint of view. One of these issue is that of evaluating similarity between nodes/profiles in a socialnetwork. Such evaluation is not only interesting, but important, as the similarity underlies theformation of communities (in real life or on the web), of acquisition of friends (in real life and onthe web).In this thesis, several methods for finding similarity, including semantic similarity, are investigated,and a new approach, Wordnet-Cosine similarity is proposed. The Wordnet-Cosine similarity(and associated distance measure) combines both a lexical database, Wordnet, with Cosine similarity(from information retrieval) to find possible similar profiles in a network.In order to assess the performance of Wordnet-Cosine similarity measure, two experimentshave been conducted. The first experiment illustrates the use for Wordnet-Cosine similarity incommunity formation. Communities are considered to be clusters of profiles. The results of usingWordnet-Cosine are compared with those using four other similarity measures (also described inthis thesis). In the second set of experiments, Wordnet-Cosine was applied to the problem of linkprediction. Its performance of predicting links in a random social graph was compared with arandom link predictor and was found to achieve better accuracy. Advisors/Committee Members: Ralescu, Anca (Committee Chair).

Subjects/Keywords: Computer Science; Social Networks; Wordnet; Semantic; Machine Learning; Link Prediction

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APA (6^th Edition):

Rawashdeh, A. (2015). Semantic Similarity of Node Profiles in Social Networks. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922

Chicago Manual of Style (16^th Edition):

Rawashdeh, Ahmad. “Semantic Similarity of Node Profiles in Social Networks.” 2015. Doctoral Dissertation, University of Cincinnati. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922.

MLA Handbook (7^th Edition):

Rawashdeh, Ahmad. “Semantic Similarity of Node Profiles in Social Networks.” 2015. Web. 11 Dec 2019.

Vancouver:

Rawashdeh A. Semantic Similarity of Node Profiles in Social Networks. [Internet] [Doctoral dissertation]. University of Cincinnati; 2015. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922.

Council of Science Editors:

Rawashdeh A. Semantic Similarity of Node Profiles in Social Networks. [Doctoral Dissertation]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922

11. Rusert, Jonathan. Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas.

Degree: MS, Computer Science, 2017, University of Minnesota

URL: http://hdl.handle.net/11299/188763

► This thesis provides a solution which finds the optimal location to insert the sense of a word not currently found in lexical database WordNet. Currently… (more)

Subjects/Keywords: Natural Language Processing; WordNet

…simple vector space . . . . . . . . 15 2.3 Simple representation of WordNet… …WordNet stores a collection of 155,287 words (or lemmas) along with their definitions… …x28;or glosses) organized into 177,659 sets of synonyms (or synsets). WordNet… …adapt to and add the new vocabulary added to a language. Unfortunately, WordNet has not been… …and glosses of lemmas already in WordNet. The intellectual merits of this thesis include the…

14 more images…

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APA (6^th Edition):

Rusert, J. (2017). Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188763

Chicago Manual of Style (16^th Edition):

Rusert, Jonathan. “Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas.” 2017. Masters Thesis, University of Minnesota. Accessed December 11, 2019. http://hdl.handle.net/11299/188763.

MLA Handbook (7^th Edition):

Rusert, Jonathan. “Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas.” 2017. Web. 11 Dec 2019.

Vancouver:

Rusert J. Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11299/188763.

Council of Science Editors:

Rusert J. Language Evolves, so should WordNet - Automatically Extending WordNet with the Senses of Out of Vocabulary Lemmas. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/188763

12. Kozanidis, Lefteris. Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων.

Degree: 2012, University of Patras; Πανεπιστήμιο Πατρών

URL: http://hdl.handle.net/10442/hedi/35267

► This dissertation aims at the specification of an algorithmic methodology that will be applied towards the implementation of a web crawler, which will operate upon… (more)

▼ This dissertation aims at the specification of an algorithmic methodology that will be applied towards the implementation of a web crawler, which will operate upon thematic criteria. Such crawlers are widely known as topical focused web crawlers. To realize our objective, the utilization of a web page thematic classification system (either existing or newly developed one) is imperative. In the course of our study, we designed and implemented a novel thematic classifier that makes extensive use of the semantic data encoded in WordNet semantic network and such decision was taken with the aspiration of tackling effectively sense ambiguity phenomena that degrade the performance of available classifiers. The suitability of WordNet towards resolving semantic ambiguity has been previously proven but never examined in a focused web crawling application and has never been exploited for the Greek language. Therefore, our thematic classifier and consequently our focused crawler that integrates it are innovative in the way in which they perform word sense disambiguation for achieving the effective detection of the web page topics (themes).In a broad sense, a web crawler is a program that based on a seed list of URLs it downloads the contents of the web pages it comes across and continues following their internal links with the utmost objective of fetching as much as web data as possible (depending on available resources, network capacity, etc.). Given that the web data grows at exponential rates, it is practically impossible to download all the web sources at any given time. One way to tackle such difficulty is to implement and employ topical focused crawlers that aim at downloading content of specific topics (potentially of interest to the user) rather than waste resources trying to download every single data source that is available on the web. Topically focused crawlers are extensively used for building topical focused indices, each of which can serve specialized user search requests, therefore dealing partially with the information overload problem.To carry out our work, we have extensively reviewed existing approaches with respect to topically focused crawling techniques upon which we relied for defining our own focused crawling methodology, which resulted into the implementation of a topical focused crawler that incorporates the following innovate features: it is tailored to operate on the Greek web, it disambiguates the web pages in order to uncover their topic and it incorporates numerous features, such as a named entities recognizer, a URL keyword extractor, personalization techniques, etc., in order to maximize its performance.To demonstrate the effectiveness of our method, we have applied our topical focused crawler on several datasets and experimentally evaluated the following issues: the efficiency of the sense resolution algorithm incorporated into our crawler, the performance of the topical classifier that the crawler consults prior to making a final decision as to whether a page should be downloaded as topically…

Subjects/Keywords: Εστιασμένοι προσκομιστές πληροφορίας; Σημασιολογικά δίκτυα λημμάτων; Σημασιολογική ομοιότητα; Αποσαφήνιση σημασίας λέξεων; Κατηγοριοποίηση ιστοσελίδων; Focused crawlers; Semantic networks; Semantic similarity; World sense disambiguation; Web page categorization; Wordnet; GeoWordNet; Greek wordnet

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APA (6^th Edition):

Kozanidis, L. (2012). Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/35267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kozanidis, Lefteris. “Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων.” 2012. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed December 11, 2019. http://hdl.handle.net/10442/hedi/35267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kozanidis, Lefteris. “Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων.” 2012. Web. 11 Dec 2019.

Vancouver:

Kozanidis L. Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10442/hedi/35267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kozanidis L. Σχεδιασμός και υλοποίηση ενός συστήματος αποκομιδής ορισμένης πληροφορίας από τον παγκόσμιο ιστό, με τη χρήση σημασιολογικών δικτύων λημμάτων. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2012. Available from: http://hdl.handle.net/10442/hedi/35267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

13. Raška, Jiří. Dolování dat v prostředí sociálních sítí .

Degree: 2013, Brno University of Technology

URL: http://hdl.handle.net/11012/53552

► Tato práce se zabývala získáváním znalostí ze sociálních médií. Konkrétním cílem této práce bylo získávání názorů na úrovní rysů z uživatelských recenzí. V teoretické části… (more)

Subjects/Keywords: dolování dat; sociální média; zpracování přirozeného jazyka; dolování názorů; uživatelské recenze; Stanford Parser; WordNet; .NET; data mining; social media; natural language processing; opinion mining; user reviews; Stanford Parser; WordNet; .NET

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APA (6^th Edition):

Raška, J. (2013). Dolování dat v prostředí sociálních sítí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Raška, Jiří. “Dolování dat v prostředí sociálních sítí .” 2013. Thesis, Brno University of Technology. Accessed December 11, 2019. http://hdl.handle.net/11012/53552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Raška, Jiří. “Dolování dat v prostředí sociálních sítí .” 2013. Web. 11 Dec 2019.

Vancouver:

Raška J. Dolování dat v prostředí sociálních sítí . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11012/53552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raška J. Dolování dat v prostředí sociálních sítí . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/53552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Saruladha, K. Semantic similarity measures for information retrieval systems using ontology; -.

Degree: Computer Science, 2011, Pondicherry University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/5300

►

This work focuses on devising computational models for assessing similarity among words/concepts in the knowledge sources like ontologies. Semantic similarity assessment plays an important role… (more)

▼

This work focuses on devising computational models for assessing similarity among words/concepts in the knowledge sources like ontologies. Semantic similarity assessment plays an important role in the fields of Psychology, Information Retrieval and Information Integration systems. The paradigm shift of syntactic web to semantic web has emphasized the use of development of semantic similarity measures to computationally identify related concepts within and among ontologies. This work deals with semantic similarity approaches which exploit the concept relationships associated with the concepts to quantify similarity among concepts defined within and among ontologies. The work specifically is interested in proposing corpus independent information content based measures for quantifying similarity among concepts belonging to single and multiple knowledge sources. The information content computation of these measures has been redefined with taxonomic and non taxonomic relations possessed by the concepts defined in the ontology. This new definition of information content solves the sparse data problem prevalent in corpus. It adds a new dimension to existing definition of information content as it is defined independent of the corpus statistics. Apart from this it also defines a generalized way of quantifying information content of the concepts, which enables to capture the semantics of the concept. Accordingly, the New Information Content (NIC) based similarity measures NICResnik, NICLin and NICJandC were defined and used to measure the similarity among concepts belonging to the lexical ontology WordNet. The effectiveness of the proposed similarity measures was evaluated using the Psycholinguistic approach. The literature on information retrieval system reveals that similarity measures play a major role in computing document and query similarity. In general, the keywords of the documents are used in the indexing process to retrieve the documents.

References p.171-179, Appendix p.184-185

Advisors/Committee Members: Aghila, G.

Subjects/Keywords: Ontology; WordNet; MeSH; New Information Content (NIC) Measure; Computer Science; Tversky Psychological Model

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APA (6^th Edition):

Saruladha, K. (2011). Semantic similarity measures for information retrieval systems using ontology; -. (Thesis). Pondicherry University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/5300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Saruladha, K. “Semantic similarity measures for information retrieval systems using ontology; -.” 2011. Thesis, Pondicherry University. Accessed December 11, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/5300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Saruladha, K. “Semantic similarity measures for information retrieval systems using ontology; -.” 2011. Web. 11 Dec 2019.

Vancouver:

Saruladha K. Semantic similarity measures for information retrieval systems using ontology; -. [Internet] [Thesis]. Pondicherry University; 2011. [cited 2019 Dec 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saruladha K. Semantic similarity measures for information retrieval systems using ontology; -. [Thesis]. Pondicherry University; 2011. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

15. Μπάσιου, Νικολέττα. Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα.

Degree: 2012, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

URL: http://hdl.handle.net/10442/hedi/30145

►

The present thesis studies the statistical modeling of information inherent in text, speech, and images in combination with clustering based on various similarity criteria, so… (more)

▼

The present thesis studies the statistical modeling of information inherent in text, speech, and images in combination with clustering based on various similarity criteria, so that multimedia documents are efficiently organized and handled even in a constantly changing environment. In more detail, the research lies in two main fields: language modeling and clustering. In the field of language modeling, the classic bigram model, the long distance bigram models, with and without interpolation, and the trigger-pairs together with smoothing were studied for word clustering in groups of conceptual synonyms. For this purpose, the language models were incorporated in three different clustering algorithms. The clustering results were evaluated with relative and external validity indices. In the special case of estimating the external indices where a ground truth is needed this was extracted systematically for the first time by means of Wordnet. The language models were also studied in image processing by proposing a new multi-channel color histogram equalization method that entails the smoothed bigram model. The new method was additionally extended with a non-linear transformation in order to deal with the potential problem of out of gamut colors. In the research field of clustering, the research was also extended in speech by proposing a new speaker diarization method that exploits the eigengap criterion for estimating the number of speakers and the cluster ensembles, which are produced by various clustering algorithms. Moreover, the problem of outliers (that is, singleton clusters) was studied by presenting two techniques for dealing with them. Finally, the updating of the Probabilistic Latent Semantic Analysis (PLSA) model was studied that was estimated from an initial document collection, when new documents are added in the initial document collection. Two new updating methods were proposed for updating the parameters of the statistical asymmetric and symmetric aspect model. The first method (Recursive PLSA) incorporates documents that are added one by one in an existing document collection. The second method (extended RPLSA) consists an extension of the first method, since it adds new documents, which may contain words from an open vocabulary, in batches. In addition, the initialization of the conditional probabilities for the incoming documents and of the initial PLSA model parameter was studied. The proposed updating methods were proved superior to corresponding updating methods with respect to correctly estimating the PLSA model parameters, to their speed and their effective application in document clustering.

Αντικείμενο της παρούσας διατριβής αποτελεί η στατιστική μοντελοποίηση της πληροφορίας που εμπεριέχεται σε κείμενα, ομιλία και εικόνες σε συνδυασμό με την ομαδοποίηση της με βάση διάφορα κριτήρια ομοιότητας με σκοπό την αποτελεσματικότερη οργάνωση και διαχείριση της ακόμα και σε ένα μεταβαλλόμενο χρονικά περιβάλλον. Αναλυτικότερα, η έρευνα κινήθηκε σε δύο βασικούς άξονες: τη γλωσσική μοντελοποίηση και την…

Subjects/Keywords: Γλωσσική μοντελοποίηση; Ομαδοποίηση; Ισοστάθμιση ισογράμματος; Δεικτοδότηση ομιλητών; Language modeling; Clustering; Histogram equalization; Speaker diarization; Wordnet

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APA (6^th Edition):

Μπάσιου, . �. (2012). Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/30145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Μπάσιου, Νικολέττα. “Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα.” 2012. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed December 11, 2019. http://hdl.handle.net/10442/hedi/30145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Μπάσιου, Νικολέττα. “Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα.” 2012. Web. 11 Dec 2019.

Vancouver:

Μπάσιου �. Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10442/hedi/30145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Μπάσιου �. Γλωσσική τεχνολογία στατιστικά μοντέλα για γλώσσα, ομιλία και εικόνα. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. Available from: http://hdl.handle.net/10442/hedi/30145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

16. Gemeren, C.J. van. Semantically driven part-based object detection.

Degree: 2012, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/254354

► Up to now deformable part based object models have initialized their parts by dividing the shape of their components into equally sized regions. The regions… (more)

Subjects/Keywords: Computer Science; Computer Vision; Object Recognition; Object Detection; Visual Object Challenge; WordNet; ImageNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gemeren, C. J. v. (2012). Semantically driven part-based object detection. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/254354

Chicago Manual of Style (16^th Edition):

Gemeren, C J van. “Semantically driven part-based object detection.” 2012. Masters Thesis, Universiteit Utrecht. Accessed December 11, 2019. http://dspace.library.uu.nl:8080/handle/1874/254354.

MLA Handbook (7^th Edition):

Gemeren, C J van. “Semantically driven part-based object detection.” 2012. Web. 11 Dec 2019.

Vancouver:

Gemeren CJv. Semantically driven part-based object detection. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2019 Dec 11]. Available from: http://dspace.library.uu.nl:8080/handle/1874/254354.

Council of Science Editors:

Gemeren CJv. Semantically driven part-based object detection. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/254354

17. Ferreira, António Alberto Vares. Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation.

Degree: 2008, Universidade da Madeira

URL: http://www.rcaap.pt/detail.jsp?id=oai:digituma.uma.pt:10400.13/112

►

A key to maintain Enterprises competitiveness is the ability to describe, standardize, and adapt the way it reacts to certain types of business events, and… (more)

Subjects/Keywords: Organizational modeling; Semantic wiki; WordNet; Diagrams; .; Centro de Ciências Exatas e da Engenharia

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ferreira, A. A. V. (2008). Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation. (Thesis). Universidade da Madeira. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:digituma.uma.pt:10400.13/112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ferreira, António Alberto Vares. “Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation.” 2008. Thesis, Universidade da Madeira. Accessed December 11, 2019. http://www.rcaap.pt/detail.jsp?id=oai:digituma.uma.pt:10400.13/112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ferreira, António Alberto Vares. “Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation.” 2008. Web. 11 Dec 2019.

Vancouver:

Ferreira AAV. Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation. [Internet] [Thesis]. Universidade da Madeira; 2008. [cited 2019 Dec 11]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:digituma.uma.pt:10400.13/112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ferreira AAV. Organizational modeling with a semantic wiki: formalization of content and automatic diagram generation. [Thesis]. Universidade da Madeira; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:digituma.uma.pt:10400.13/112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

18. Ruas, Terry L. Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains.

Degree: PhD, College of Engineering & Computer Science, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/149647

► The relationship between words in a sentence often tell us more about the underlying semantic content of a document than its actual words individually. Natural… (more)

▼ The relationship between words in a sentence often tell us more about the underlying semantic content of a document than its actual words individually. Natural language understanding has seen an increasing effort in the formation of techniques that try to produce non-trivial features, in the last few years, especially after robust word embeddings models became prominent, when they proved themselves able to capture and represent semantic relationships from massive amounts of data. These new dense vector representations indeed leverage the baseline in natural language processing, but they still fall short in dealing with intrinsic issues in linguistics, such as polysemy and homonymy. Systems that make use of natural language at its core, can be affected by a weak semantic representation of human language, resulting in inaccurate outcomes based on poor decisions. In this subject, word sense disambiguation and lexical chains have been exploring alternatives to alleviate several problems in linguistics, such as semantic representation, definitions, differentiation, polysemy, and homonymy. However, little effort is seen in combining recent advances in token embeddings (e.g. words, documents) with word sense disambiguation and lexical chains. To collaborate in building a bridge between these areas, this work proposes a collection of algorithms to extract semantic features from large corpora as its main contributions, named MSSA, MSSA-D, MSSA-NR, FLLC II, and FXLC II. The MSSA techniques focus on disambiguating and annotating each word by its specific sense, considering the semantic effects of its context. The lexical chains group derive the semantic relations between consecutive words in a document in a dynamic and pre-defined manner. These original techniques' target is to uncover the implicit semantic links between words using their lexical structure, incorporating multi-sense embeddings, word sense disambiguation, lexical chains, and lexical databases. A few natural language problems are selected to validate the contributions of this work, in which our techniques outperform state-of-the-art systems. All the proposed algorithms can be used separately as independent components or combined in one single system to improve the semantic representation of words, sentences, and documents. Additionally, they can also work in a recurrent form, refining even more their results. Advisors/Committee Members: Grosky, William (advisor), Abouelenien, Mohamed (committee member), Agrawal, Rajeev (committee member), Kessentini, Marouane (committee member), Ortiz, Luis (committee member), Zakarian, Armen (committee member).

Subjects/Keywords: Synsets; WordNet; MSSA; Natural language processing; Semantics; Lexical chains; Computer and Information Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ruas, T. L. (2019). Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149647

Chicago Manual of Style (16^th Edition):

Ruas, Terry L. “Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 11, 2019. http://hdl.handle.net/2027.42/149647.

MLA Handbook (7^th Edition):

Ruas, Terry L. “Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains.” 2019. Web. 11 Dec 2019.

Vancouver:

Ruas TL. Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2027.42/149647.

Council of Science Editors:

Ruas TL. Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149647

Texas State University – San Marcos

19. Li, Bo. Semantic tree-based 3D model retrieval using 2D sketch queries.

Degree: MS, Applied Mathematics, 2015, Texas State University – San Marcos

URL: https://digital.library.txstate.edu/handle/10877/5734

► Effectively and efficiently retrieving relevant 3D models (digital representation of objects in computer) for a 2D sketch query is important for various related appli- cations.… (more)

Subjects/Keywords: Sketch-based 3D model retrieval; Semantics; WordNet; Computer vision; Optical data processing; Image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, B. (2015). Semantic tree-based 3D model retrieval using 2D sketch queries. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5734

Chicago Manual of Style (16^th Edition):

Li, Bo. “Semantic tree-based 3D model retrieval using 2D sketch queries.” 2015. Masters Thesis, Texas State University – San Marcos. Accessed December 11, 2019. https://digital.library.txstate.edu/handle/10877/5734.

MLA Handbook (7^th Edition):

Li, Bo. “Semantic tree-based 3D model retrieval using 2D sketch queries.” 2015. Web. 11 Dec 2019.

Vancouver:

Li B. Semantic tree-based 3D model retrieval using 2D sketch queries. [Internet] [Masters thesis]. Texas State University – San Marcos; 2015. [cited 2019 Dec 11]. Available from: https://digital.library.txstate.edu/handle/10877/5734.

Council of Science Editors:

Li B. Semantic tree-based 3D model retrieval using 2D sketch queries. [Masters Thesis]. Texas State University – San Marcos; 2015. Available from: https://digital.library.txstate.edu/handle/10877/5734

University of Canterbury

20. Manion, Steve Lawrence. Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs.

Degree: Department of Mathematics & Statistics, 2014, University of Canterbury

URL: http://hdl.handle.net/10092/10016

► Hypothetically, if you were told: Apple uses the apple as its logo . You would immediately detect two different senses of the word apple ,… (more)

Subjects/Keywords: Word Sense Disambiguation; Natural Language Processing; Computational Linguistics; Semantic Web; Subgraphs; Wikipedia; WordNet; BabelNet; Knowledge-based; Taxonomy; Iterative; Peripheral Diversity; Daebak

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Manion, S. L. (2014). Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/10016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Manion, Steve Lawrence. “Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs.” 2014. Thesis, University of Canterbury. Accessed December 11, 2019. http://hdl.handle.net/10092/10016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Manion, Steve Lawrence. “Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs.” 2014. Web. 11 Dec 2019.

Vancouver:

Manion SL. Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs. [Internet] [Thesis]. University of Canterbury; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10092/10016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manion SL. Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs. [Thesis]. University of Canterbury; 2014. Available from: http://hdl.handle.net/10092/10016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

21. Mladenović, Miljana, 1963-. Информатички модели у анализи осећања засновани на језичким ресурсима.

Degree: Matematički fakultet, 2017, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:15098/bdef:Content/get

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Рачунарство - Рачунарска лингвистика / Computer science - Computational linguistics

Почетак новог миленијума обележен је бурним развојем друштвених мрежа, интернет технологијама у облаку и применом… (more)

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Рачунарство - Рачунарска лингвистика / Computer science - Computational linguistics

Почетак новог миленијума обележен је бурним развојем друштвених мрежа, интернет технологијама у облаку и применом вештачке интелигенције у веб алатима. Изузетно брз раст броја текстова на интернету (блогова, сајтова за електронску трговину, форума, дискусионих група, система за пренос кратких порука, друштвених мрежа и портала за објаву вести) увећао је потребу за развојем метода брзе, свеобухватне и прецизне анализе текста. Због тога је значајан развој језичких технологија чији су примарни задаци: класификација докумената (енг. Document classification), груписање докумената (енг. Document clustering), проналажење информација (енг. Information Retrieval), разрешавање значења вишезначних речи (енг. Word-sense disambiguation), екстракција из текста (енг. Text еxtraction), машинско превођење (енг. Machine translation), рачунарско препознавање говора (енг. Computer speech recognition), генерисање природног језика (енг. Natural language generation), анализа осећања (енг. sentiment analysis), итд. У рачунарској лингвистици данас је у употреби више различитих назива за област чији је предмет интересовања обрада осећања у тексту: класификација према осећању (енг. sentiment classification), истраживање мишљење (енг. opinion mining), анализа осећања (енг. sentiment analysis), екстракција осећања (енг. sentiment extraction). По својој природи и методама које користи, анализа осећања у тексту спада у област рачунарске лингвистике која се бави класификацијом текста. У процесу обраде осећања се, у општем случају, говори о три врсте класификације текстова:...

Advisors/Committee Members: Vitas, Duško, 1949-.

Subjects/Keywords: natural language processing; opinion mining; sentiment analysis; maximum entropy method; feature extraction; domain ontology; task ontology; rhetorical figures; WordNet

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mladenović, Miljana, 1. (2017). Информатички модели у анализи осећања засновани на језичким ресурсима. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:15098/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mladenović, Miljana, 1963-. “Информатички модели у анализи осећања засновани на језичким ресурсима.” 2017. Thesis, Univerzitet u Beogradu. Accessed December 11, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:15098/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mladenović, Miljana, 1963-. “Информатички модели у анализи осећања засновани на језичким ресурсима.” 2017. Web. 11 Dec 2019.

Vancouver:

Mladenović, Miljana 1. Информатички модели у анализи осећања засновани на језичким ресурсима. [Internet] [Thesis]. Univerzitet u Beogradu; 2017. [cited 2019 Dec 11]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15098/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mladenović, Miljana 1. Информатички модели у анализи осећања засновани на језичким ресурсима. [Thesis]. Univerzitet u Beogradu; 2017. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:15098/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Dagerman, Björn. Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri.

Degree: Design and Engineering, 2013, Mälardalen University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26142

► Services that rely on the semantic computations of users’ natural linguistic inputs are becoming more frequent. Computing semantic relatedness between texts is problematic due… (more)

Subjects/Keywords: COLD; WordNet; thesaurus; semantic analysis; NLP; natural language processing; DFG; definite clause grammar; semantic relatedness; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dagerman, B. (2013). Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Dagerman, Björn. “Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri.” 2013. Thesis, Mälardalen University. Accessed December 11, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Dagerman, Björn. “Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri.” 2013. Web. 11 Dec 2019.

Vancouver:

Dagerman B. Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri. [Internet] [Thesis]. Mälardalen University; 2013. [cited 2019 Dec 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dagerman B. Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri. [Thesis]. Mälardalen University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université de Montréal

23. Jin, Fuman. Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes .

Degree: 2003, Université de Montréal

URL: http://hdl.handle.net/1866/14514

Subjects/Keywords: Opérateur logique; Modèle vectoriel; Information mutuelle; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jin, F. (2003). Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/14514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jin, Fuman. “Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes .” 2003. Thesis, Université de Montréal. Accessed December 11, 2019. http://hdl.handle.net/1866/14514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jin, Fuman. “Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes .” 2003. Web. 11 Dec 2019.

Vancouver:

Jin F. Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes . [Internet] [Thesis]. Université de Montréal; 2003. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1866/14514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jin F. Expansion de requête dans la recherche d'information : comparaison des ressources et des méthodes . [Thesis]. Université de Montréal; 2003. Available from: http://hdl.handle.net/1866/14514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Σπύρος, Γεώργιος. Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων.

Degree: 2009, University of Patras

URL: http://nemertes.lis.upatras.gr/jspui/handle/10889/2393

►

Στις μέρες μας η χρήση του παγκόσμιου ιστού έχει εξελιχθεί σε ένα κοινωνικό φαινόμενο. Η εξάπλωσή του είναι συνεχής και εκθετικά αυξανόμενη. Στα χρόνια που… (more)

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Στις μέρες μας η χρήση του παγκόσμιου ιστού έχει εξελιχθεί σε ένα κοινωνικό φαινόμενο. Η εξάπλωσή του είναι συνεχής και εκθετικά αυξανόμενη. Στα χρόνια που έχουν μεσολαβήσει από την εμφάνισή του, οι χρήστες έχουν αποκτήσει ένα βαθμό εμπειρίας και έχει γίνει από πλευράς τους ένα σύνολο αποδοχών βασισμένων σε αυτή ακριβώς την εμπειρία από τη χρήση του παγκόσμιου ιστού. Πιο συγκεκριμένα έχει γίνει αντιληπτό από τους χρήστες το γεγονός ότι οι ιστοσελίδες με τις οποίες αλληλεπιδρούν καθημερινά σχεδόν είναι δημιουργήματα κάποιων άλλων χρηστών. Επίσης έχει γίνει αντιληπτό ότι ο κάθε χρήστης μπορεί να δημιουργήσει τη δική του ιστοσελίδα και μάλιστα να περιλάβει σε αυτή αναφορές προς μια άλλη ιστοσελίδα κάποιου άλλου χρήστη. Οι αναφορές αυτές όμως, συνήθως δεν εμφανίζονται απλά και μόνο με τη μορφή ενός υπερσυνδέσμου. Τις περισσότερες φορές υπάρχει και κείμενο που τις συνοδεύει και που παρέχει πληροφορίες για το περιεχόμενο της αναφερόμενης ιστοσελίδας. Σε αυτή τη διπλωματική εργασία περιγράφουμε μια μεθοδολογία για τον αυτόματο σημασιολογικό σχολιασμό του περιεχομένου ιστοσελίδων. Τα εργαλεία και οι τεχνικές που περιγράφονται βασίζονται σε δύο κύριες υποθέσεις. Πρώτον, οι άνθρωποι που δημιουργούν και διατηρούν ιστοσελίδες περιγράφουν άλλες ιστοσελίδες μέσα σε αυτές. Δεύτερον, οι άνθρωποι συνδέουν τις ιστοσελίδες τους με την εκάστοτε ιστοσελίδα την οποία περιγράφουν μέσω ενός συνδέσμου αγκύρωσης (anchor link) που είναι καθαρά σημαδεμένος με μία συγκεκριμένη ετικέτα (tag) μέσα στον εκάστοτε HTML κώδικα. Ο αυτόματος σημασιολογικός σχολιασμός που επιχειρούμε για μια ιστοσελίδα ισοδυναμεί με την εύρεση μιας ετικέτας (tag) ικανής να περιγράψει το περιεχόμενο της. Η εύρεση αυτής της ετικέτας είναι μια διαδικασία που βασίζεται σε μία συγκεκριμένη μεθοδολογία που αποτελείται από ένα συγκεκριμένο αριθμό βημάτων. Κάθε βήμα από αυτά υλοποιείται με τη χρήση διαφόρων εργαλείων και τεχνικών και τροφοδοτεί με την έξοδό του την είσοδο του επόμενου βήματος. Βασική ιδέα της μεθοδολογίας είναι η συλλογή αρκετών κειμένων αγκύρωσης (anchor texts), καθώς και ενός μέρους του γειτονικού τους κειμένου, για μία ιστοσελίδα. Η συλλογή αυτή προκύπτει ύστερα από επεξεργασία αρκετών ιστοσελίδων που περιέχουν υπερσυνδέσμους προς τη συγκεκριμένη ιστοσελίδα. Η σημασιολογική ετικέτα για μια ιστοσελίδα προκύπτει από την εφαρμογή διαφόρων τεχνικών γλωσσολογικής επεξεργασίας στη συλλογή των κειμένων που την αφορούν. Έτσι προκύπτει το τελικό συμπέρασμα για το σημασιολογικό σχολιασμό του περιεχομένου της ιστοσελίδας.

Nowadays the World Wide Web usage has evolved into a social phenomenon. It’s spread is constant and it’s increasing exponentially. During the years that have passed since it’s first appearance, the users have gained a certain level of experience and they have made some acceptances through this experience. They have understood that the web pages with which they interact in their everyday web activities, are creations from some other users. It has also become clear that every user can create his own web page and include in it references to some…

Advisors/Committee Members: Χριστοδουλάκης, Δημήτριος, Spiros, Georgios, Χριστοδουλάκης, Δημήτριος, Μπούρας, Χρήστος, Λυκοθανάσης, Σπυρίδων.

Subjects/Keywords: Κείμενο αγκύρωσης; Παγκόσμιος ιστός; Σημασιολογική επισημείωση; Αποσαφήνιση όρων; 005.72; Anchor text; World wide web; Wordnet; Semantic annotation; Word sense disambiguation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Σπύρος, �. (2009). Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/2393

Chicago Manual of Style (16^th Edition):

Σπύρος, Γεώργιος. “Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων.” 2009. Masters Thesis, University of Patras. Accessed December 11, 2019. http://nemertes.lis.upatras.gr/jspui/handle/10889/2393.

MLA Handbook (7^th Edition):

Σπύρος, Γεώργιος. “Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων.” 2009. Web. 11 Dec 2019.

Vancouver:

Σπύρος �. Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων. [Internet] [Masters thesis]. University of Patras; 2009. [cited 2019 Dec 11]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2393.

Council of Science Editors:

Σπύρος �. Μεθοδολογία αυτόματου σημασιολογικού σχολιασμού στο περιεχόμενο ιστοσελίδων. [Masters Thesis]. University of Patras; 2009. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2393

25. Albacete García, Esperanza. An ontology for human-like interaction systems.

Degree: 2018, Universidad Carlos III de Madrid

URL: http://hdl.handle.net/10016/23224

Subjects/Keywords: Ontology; Cyc proyect; Linguistic ontologies; WordNet; Informática

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Albacete García, E. (2018). An ontology for human-like interaction systems. (Thesis). Universidad Carlos III de Madrid. Retrieved from http://hdl.handle.net/10016/23224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Albacete García, Esperanza. “An ontology for human-like interaction systems.” 2018. Thesis, Universidad Carlos III de Madrid. Accessed December 11, 2019. http://hdl.handle.net/10016/23224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Albacete García, Esperanza. “An ontology for human-like interaction systems.” 2018. Web. 11 Dec 2019.

Vancouver:

Albacete García E. An ontology for human-like interaction systems. [Internet] [Thesis]. Universidad Carlos III de Madrid; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10016/23224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Albacete García E. An ontology for human-like interaction systems. [Thesis]. Universidad Carlos III de Madrid; 2018. Available from: http://hdl.handle.net/10016/23224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

26. Mitrović, Jelena D., 1980-. Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада.

Degree: Filološki fakultet, 2018, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:19057/bdef:Content/get

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Библиотекарство и информатика - Библиотечка информатика, Обрада природног језика / Library Science and Information science - Information science, Natural Language Processing

Овај докторски рад бави… (more)

Subjects/Keywords: Lexical resources; Serbian language; Natural Language Processing; WordNet; Electronic dictionaries; Corpus of Serbian language; Crowdsourcing; Rhetorical Figures; Simile

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mitrović, Jelena D., 1. (2018). Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:19057/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mitrović, Jelena D., 1980-. “Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада.” 2018. Thesis, Univerzitet u Beogradu. Accessed December 11, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:19057/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mitrović, Jelena D., 1980-. “Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада.” 2018. Web. 11 Dec 2019.

Vancouver:

Mitrović, Jelena D. 1. Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2019 Dec 11]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:19057/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mitrović, Jelena D. 1. Електронски језички ресурси и алати за обраду српског језика и њихово унапређивање путем модела групне расподеле рада. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:19057/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

27. Podder, Sushil. Unsupervised Clustering and Automatic Language Model Generation for ASR.

Degree: 2004, University of Waterloo

URL: http://hdl.handle.net/10012/933

► The goal of an automatic speech recognition system is to enable the computer in understanding human speech and act accordingly. In order to realize this… (more)

Subjects/Keywords: Systems Design; ASR; language model generation; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Podder, S. (2004). Unsupervised Clustering and Automatic Language Model Generation for ASR. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/933

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Podder, Sushil. “Unsupervised Clustering and Automatic Language Model Generation for ASR.” 2004. Thesis, University of Waterloo. Accessed December 11, 2019. http://hdl.handle.net/10012/933.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Podder, Sushil. “Unsupervised Clustering and Automatic Language Model Generation for ASR.” 2004. Web. 11 Dec 2019.

Vancouver:

Podder S. Unsupervised Clustering and Automatic Language Model Generation for ASR. [Internet] [Thesis]. University of Waterloo; 2004. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10012/933.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Podder S. Unsupervised Clustering and Automatic Language Model Generation for ASR. [Thesis]. University of Waterloo; 2004. Available from: http://hdl.handle.net/10012/933

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas Tech University

28. -8784-1528. The power of latent semantic indexing in review retrieval.

Degree: MS, Software Engineering, 2016, Texas Tech University

URL: http://hdl.handle.net/2346/72302

► Over the past decade, the Internet has enabled accesses of information to its users in the forms of web pages and digital documents with vast… (more)

▼ Over the past decade, the Internet has enabled accesses of information to its users in the forms of web pages and digital documents with vast variety of topics. The rapidly increased amount of such documents has given birth to the need of effective approaches to automatically analyzing the texts in the document in order to retrieve most appropriate documents. Latent Semantic Indexing (LSI) is a well-known Information Retrieval technique that ranks the documents by their relevance to a given query. Unlike keyword matching, instead of scoring by exact matching of the word in both the document and the query, LSI makes use of the words that occur together in documents to capture the hidden related meanings among documents to words in the query and thus LSI can improve the ability to rank relevant documents. It does so by performing rank-reduced Singular Value Decomposition on a word-by-document matrix to preserve important information across documents while eliminating noise, transforming query to this lower dimension and identifying similarity of the query to each document. While LSI has been used widely, it assumes that query basis words must present in the documents. This thesis addresses the question on the power of LSI whether it can be improved. First, can we relax the assumption that query basis words must occur in the documents? As in practice, it is not necessary the case that this assumption would hold, especially when documents are very short. Second, since LSI uses association of word occurrences in the documents to improve querying semantics, will LSI maintain its power in document retrieval when dealing with rare common words or short documents such as tweets or online reviews? The main contribution of this thesis is the study of the power of LSI that leads to LSI+ (LSI-plus), an intelligent LSI method that allows us to rank relevant documents without the required assumptions that query words must appear in documents. Furthermore, even when the assumption holds, LSI+ performs better than that of LSI. The key element to the enhanced LSI+ is the use of domain-specific knowledge about the review query. In particular, we propose a method that employs human expertise knowledge to provide relevance scores to document words (as opposed to frequency of occurrences as in traditional LSI). The method is systematic and general. Thus, it can be automatically applied to other domains. The thesis illustrates the power of LSI+ by experimenting on reviews from the Yelp dataset to rank reviews relevant to the query. LSI+ gives promising results with area-under curve higher than those obtained from traditional LSI. The thesis concludes with plan for future work of LSI+. Advisors/Committee Members: Namin, Akbar (committee member), Serwadda, Abdul (committee member), Hewett, Rattikorn (Committee Chair).

Subjects/Keywords: Latent Semantic Indexing; expert knowledge; document retrieval; review retrieval; Singular Value Decomposition; semantic score; WordNet; ontology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

-8784-1528. (2016). The power of latent semantic indexing in review retrieval. (Masters Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/72302

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-8784-1528. “The power of latent semantic indexing in review retrieval.” 2016. Masters Thesis, Texas Tech University. Accessed December 11, 2019. http://hdl.handle.net/2346/72302.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-8784-1528. “The power of latent semantic indexing in review retrieval.” 2016. Web. 11 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8784-1528. The power of latent semantic indexing in review retrieval. [Internet] [Masters thesis]. Texas Tech University; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2346/72302.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8784-1528. The power of latent semantic indexing in review retrieval. [Masters Thesis]. Texas Tech University; 2016. Available from: http://hdl.handle.net/2346/72302

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of New Orleans

29. Handler, Abram. An empirical study of semantic similarity in WordNet and Word2Vec.

Degree: Computer Science, 2014, University of New Orleans

URL: https://scholarworks.uno.edu/td/1922

► This thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends… (more)

Subjects/Keywords: Word2Vec; Natural Language Processing; WordNet; Distributional Semantics; Artificial Intelligence and Robotics; Computational Linguistics; Other Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Handler, A. (2014). An empirical study of semantic similarity in WordNet and Word2Vec. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Handler, Abram. “An empirical study of semantic similarity in WordNet and Word2Vec.” 2014. Thesis, University of New Orleans. Accessed December 11, 2019. https://scholarworks.uno.edu/td/1922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Handler, Abram. “An empirical study of semantic similarity in WordNet and Word2Vec.” 2014. Web. 11 Dec 2019.

Vancouver:

Handler A. An empirical study of semantic similarity in WordNet and Word2Vec. [Internet] [Thesis]. University of New Orleans; 2014. [cited 2019 Dec 11]. Available from: https://scholarworks.uno.edu/td/1922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Handler A. An empirical study of semantic similarity in WordNet and Word2Vec. [Thesis]. University of New Orleans; 2014. Available from: https://scholarworks.uno.edu/td/1922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Montoyo, Andres. Desambiguación léxica mediante marcas de especificidad.

Degree: 2018, Universidad de Alicante

URL: http://hdl.handle.net/10045/3745

Subjects/Keywords: Ambigüedad léxica; Word sense disambiguation; WordNet; Enriquecimiento de WordNet semánticamente; Sistemas de clasificación; Lenguajes y Sistemas Informáticos

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Montoyo, A. (2018). Desambiguación léxica mediante marcas de especificidad. (Thesis). Universidad de Alicante. Retrieved from http://hdl.handle.net/10045/3745

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Montoyo, Andres. “Desambiguación léxica mediante marcas de especificidad.” 2018. Thesis, Universidad de Alicante. Accessed December 11, 2019. http://hdl.handle.net/10045/3745.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Montoyo, Andres. “Desambiguación léxica mediante marcas de especificidad.” 2018. Web. 11 Dec 2019.

Vancouver:

Montoyo A. Desambiguación léxica mediante marcas de especificidad. [Internet] [Thesis]. Universidad de Alicante; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10045/3745.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Montoyo A. Desambiguación léxica mediante marcas de especificidad. [Thesis]. Universidad de Alicante; 2018. Available from: http://hdl.handle.net/10045/3745

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations