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You searched for subject:(Semantic relatedness). Showing records 1 – 28 of 28 total matches.

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Iowa State University

1. Dingel, Brody. Semantic relatedness in L2 vocabulary learning: Does it really matter?.

Degree: 2020, Iowa State University

 Second language (L2) textbooks often organize new vocabulary in lists of semantically related words under a common superordinate concept, such as food or family members.… (more)

Subjects/Keywords: L2; relatedness; semantic; vocabulary

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APA (6th Edition):

Dingel, B. (2020). Semantic relatedness in L2 vocabulary learning: Does it really matter?. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17874

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

Chicago Manual of Style (16th Edition):

Dingel, Brody. “Semantic relatedness in L2 vocabulary learning: Does it really matter?.” 2020. Thesis, Iowa State University. Accessed August 12, 2020. https://lib.dr.iastate.edu/etd/17874.

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

MLA Handbook (7th Edition):

Dingel, Brody. “Semantic relatedness in L2 vocabulary learning: Does it really matter?.” 2020. Web. 12 Aug 2020.

Vancouver:

Dingel B. Semantic relatedness in L2 vocabulary learning: Does it really matter?. [Internet] [Thesis]. Iowa State University; 2020. [cited 2020 Aug 12]. Available from: https://lib.dr.iastate.edu/etd/17874.

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

Council of Science Editors:

Dingel B. Semantic relatedness in L2 vocabulary learning: Does it really matter?. [Thesis]. Iowa State University; 2020. Available from: https://lib.dr.iastate.edu/etd/17874

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


University of North Texas

2. Hassan, Samer. Measuring Semantic Relatedness Using Salient Encyclopedic Concepts.

Degree: 2011, University of North Texas

 While pragmatics, through its integration of situational awareness and real world relevant knowledge, offers a high level of analysis that is suitable for real interpretation… (more)

Subjects/Keywords: semantic relatedness; latent semantic analysis; explicit semantic analysis; Wikipedia; sematic similarity; salient semantic analysis

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APA (6th Edition):

Hassan, S. (2011). Measuring Semantic Relatedness Using Salient Encyclopedic Concepts. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84212/

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

Chicago Manual of Style (16th Edition):

Hassan, Samer. “Measuring Semantic Relatedness Using Salient Encyclopedic Concepts.” 2011. Thesis, University of North Texas. Accessed August 12, 2020. https://digital.library.unt.edu/ark:/67531/metadc84212/.

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

MLA Handbook (7th Edition):

Hassan, Samer. “Measuring Semantic Relatedness Using Salient Encyclopedic Concepts.” 2011. Web. 12 Aug 2020.

Vancouver:

Hassan S. Measuring Semantic Relatedness Using Salient Encyclopedic Concepts. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Aug 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84212/.

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

Council of Science Editors:

Hassan S. Measuring Semantic Relatedness Using Salient Encyclopedic Concepts. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84212/

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


Northeastern University

3. Dovenberg, Elizabeth. Semantic Relatedness and Its Effect on the Timing of Language Production.

Degree: Northeastern University

 The timing of language production planning is sensitive to semantic integration, as shown in experiments involving different classes of speech errors (e.g., Pearlmutter & Solomon,… (more)

Subjects/Keywords: language production; semantic relatedness; semantic integration

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APA (6th Edition):

Dovenberg, E. (n.d.). Semantic Relatedness and Its Effect on the Timing of Language Production. (Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20128902

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dovenberg, Elizabeth. “Semantic Relatedness and Its Effect on the Timing of Language Production.” Thesis, Northeastern University. Accessed August 12, 2020. http://hdl.handle.net/2047/D20128902.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dovenberg, Elizabeth. “Semantic Relatedness and Its Effect on the Timing of Language Production.” Web. 12 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Dovenberg E. Semantic Relatedness and Its Effect on the Timing of Language Production. [Internet] [Thesis]. Northeastern University; [cited 2020 Aug 12]. Available from: http://hdl.handle.net/2047/D20128902.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Dovenberg E. Semantic Relatedness and Its Effect on the Timing of Language Production. [Thesis]. Northeastern University; Available from: http://hdl.handle.net/2047/D20128902

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


RMIT University

4. Macias Galindo, D. Domain-sensitive topic management in a modular conversational agent framework.

Degree: 2014, RMIT University

 Flexible nontask-oriented conversational agents require content for generating responses and mechanisms that serve them for choosing appropriate topics to drive interactions with users. Structured knowledge… (more)

Subjects/Keywords: Fields of Research; Conversational systems; Domain Ontology; Semantic Relatedness; Topic Coherence

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APA (6th Edition):

Macias Galindo, D. (2014). Domain-sensitive topic management in a modular conversational agent framework. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160790

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

Chicago Manual of Style (16th Edition):

Macias Galindo, D. “Domain-sensitive topic management in a modular conversational agent framework.” 2014. Thesis, RMIT University. Accessed August 12, 2020. http://researchbank.rmit.edu.au/view/rmit:160790.

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

MLA Handbook (7th Edition):

Macias Galindo, D. “Domain-sensitive topic management in a modular conversational agent framework.” 2014. Web. 12 Aug 2020.

Vancouver:

Macias Galindo D. Domain-sensitive topic management in a modular conversational agent framework. [Internet] [Thesis]. RMIT University; 2014. [cited 2020 Aug 12]. Available from: http://researchbank.rmit.edu.au/view/rmit:160790.

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

Council of Science Editors:

Macias Galindo D. Domain-sensitive topic management in a modular conversational agent framework. [Thesis]. RMIT University; 2014. Available from: http://researchbank.rmit.edu.au/view/rmit:160790

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


University of Melbourne

5. GRIESER, KARL. Computing relationships and relatedness between contextually diverse entities.

Degree: 2011, University of Melbourne

 When presented with a pair of entities such as a ball and a bat, a person may make the connection that both of these entities… (more)

Subjects/Keywords: Wikipedia; information Extraction; cultural heritage; semantic relatedness; natural language processing

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APA (6th Edition):

GRIESER, K. (2011). Computing relationships and relatedness between contextually diverse entities. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37066

Chicago Manual of Style (16th Edition):

GRIESER, KARL. “Computing relationships and relatedness between contextually diverse entities.” 2011. Doctoral Dissertation, University of Melbourne. Accessed August 12, 2020. http://hdl.handle.net/11343/37066.

MLA Handbook (7th Edition):

GRIESER, KARL. “Computing relationships and relatedness between contextually diverse entities.” 2011. Web. 12 Aug 2020.

Vancouver:

GRIESER K. Computing relationships and relatedness between contextually diverse entities. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/11343/37066.

Council of Science Editors:

GRIESER K. Computing relationships and relatedness between contextually diverse entities. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37066


University of North Texas

6. Dandala, Bharath. Graph-Based Keyphrase Extraction Using Wikipedia.

Degree: 2010, University of North Texas

 Keyphrases describe a document in a coherent and simple way, giving the prospective reader a way to quickly determine whether the document satisfies their information… (more)

Subjects/Keywords: Keyphrase extraction; pagerank; semantic relatedness

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APA (6th Edition):

Dandala, B. (2010). Graph-Based Keyphrase Extraction Using Wikipedia. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc67939/

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

Chicago Manual of Style (16th Edition):

Dandala, Bharath. “Graph-Based Keyphrase Extraction Using Wikipedia.” 2010. Thesis, University of North Texas. Accessed August 12, 2020. https://digital.library.unt.edu/ark:/67531/metadc67939/.

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

MLA Handbook (7th Edition):

Dandala, Bharath. “Graph-Based Keyphrase Extraction Using Wikipedia.” 2010. Web. 12 Aug 2020.

Vancouver:

Dandala B. Graph-Based Keyphrase Extraction Using Wikipedia. [Internet] [Thesis]. University of North Texas; 2010. [cited 2020 Aug 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc67939/.

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

Council of Science Editors:

Dandala B. Graph-Based Keyphrase Extraction Using Wikipedia. [Thesis]. University of North Texas; 2010. Available from: https://digital.library.unt.edu/ark:/67531/metadc67939/

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


Temple University

7. Matikainen, Tiina Johanna. Semantic Representation of L2 Lexicon in Japanese University Students.

Degree: 2011, Temple University

CITE/Language Arts

Ed.D.

In a series of studies using semantic relatedness judgment response times, Jiang (2000, 2002, 2004a) has claimed that L2 lexical entries fossilize… (more)

Subjects/Keywords: Language; Linguistics; L2 lexical knowledge; lexical similarity; semantic relatedness; usage-based statistics; word frequency

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APA (6th Edition):

Matikainen, T. J. (2011). Semantic Representation of L2 Lexicon in Japanese University Students. (Thesis). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,133319

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

Chicago Manual of Style (16th Edition):

Matikainen, Tiina Johanna. “Semantic Representation of L2 Lexicon in Japanese University Students.” 2011. Thesis, Temple University. Accessed August 12, 2020. http://digital.library.temple.edu/u?/p245801coll10,133319.

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

MLA Handbook (7th Edition):

Matikainen, Tiina Johanna. “Semantic Representation of L2 Lexicon in Japanese University Students.” 2011. Web. 12 Aug 2020.

Vancouver:

Matikainen TJ. Semantic Representation of L2 Lexicon in Japanese University Students. [Internet] [Thesis]. Temple University; 2011. [cited 2020 Aug 12]. Available from: http://digital.library.temple.edu/u?/p245801coll10,133319.

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

Council of Science Editors:

Matikainen TJ. Semantic Representation of L2 Lexicon in Japanese University Students. [Thesis]. Temple University; 2011. Available from: http://digital.library.temple.edu/u?/p245801coll10,133319

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


University of South Carolina

8. Peters, Sara Ann. A Study of Semantic Association and Reference in the Visual World Paradigm.

Degree: MA, Psychology, 2010, University of South Carolina

  This study provides an in-depth look at how the memory and language systems interact during spoken language comprehension. Experiment 1 examines how the strength… (more)

Subjects/Keywords: Psychology; Social and Behavioral Sciences; Association; Psycholinguistics; Reference Processing; Semantic Relatedness; Statistics

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

APA (6th Edition):

Peters, S. A. (2010). A Study of Semantic Association and Reference in the Visual World Paradigm. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/238

Chicago Manual of Style (16th Edition):

Peters, Sara Ann. “A Study of Semantic Association and Reference in the Visual World Paradigm.” 2010. Masters Thesis, University of South Carolina. Accessed August 12, 2020. https://scholarcommons.sc.edu/etd/238.

MLA Handbook (7th Edition):

Peters, Sara Ann. “A Study of Semantic Association and Reference in the Visual World Paradigm.” 2010. Web. 12 Aug 2020.

Vancouver:

Peters SA. A Study of Semantic Association and Reference in the Visual World Paradigm. [Internet] [Masters thesis]. University of South Carolina; 2010. [cited 2020 Aug 12]. Available from: https://scholarcommons.sc.edu/etd/238.

Council of Science Editors:

Peters SA. A Study of Semantic Association and Reference in the Visual World Paradigm. [Masters Thesis]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/238


Queensland University of Technology

9. Choudhury, Sharmin (Tinni). Loculus : an ontology-based information management framework for the motion picture industry.

Degree: 2010, Queensland University of Technology

 "How do you film a punch?" This question can be posed by actors, make-up artists, directors and cameramen. Though they can all ask the same… (more)

Subjects/Keywords: ontology; motion picture industry; human factors; semantic relatedness; knowledge extraction; knowledge classification

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APA (6th Edition):

Choudhury, S. (. (2010). Loculus : an ontology-based information management framework for the motion picture industry. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/41546/

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

Chicago Manual of Style (16th Edition):

Choudhury, Sharmin (Tinni). “Loculus : an ontology-based information management framework for the motion picture industry.” 2010. Thesis, Queensland University of Technology. Accessed August 12, 2020. https://eprints.qut.edu.au/41546/.

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

MLA Handbook (7th Edition):

Choudhury, Sharmin (Tinni). “Loculus : an ontology-based information management framework for the motion picture industry.” 2010. Web. 12 Aug 2020.

Vancouver:

Choudhury S(. Loculus : an ontology-based information management framework for the motion picture industry. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Aug 12]. Available from: https://eprints.qut.edu.au/41546/.

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

Council of Science Editors:

Choudhury S(. Loculus : an ontology-based information management framework for the motion picture industry. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/41546/

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


University of Western Ontario

10. Singha Roy, Sudipta. Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning.

Degree: 2020, University of Western Ontario

 Research publications reflect advancements in the corresponding research domain. In these research publications, scientists often use citations to bolster the presented research findings and portray… (more)

Subjects/Keywords: citation linkage; textual semantic relatedness; text classification; dataset creation; Artificial Intelligence and Robotics

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APA (6th Edition):

Singha Roy, S. (2020). Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6864

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

Chicago Manual of Style (16th Edition):

Singha Roy, Sudipta. “Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning.” 2020. Thesis, University of Western Ontario. Accessed August 12, 2020. https://ir.lib.uwo.ca/etd/6864.

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

MLA Handbook (7th Edition):

Singha Roy, Sudipta. “Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning.” 2020. Web. 12 Aug 2020.

Vancouver:

Singha Roy S. Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning. [Internet] [Thesis]. University of Western Ontario; 2020. [cited 2020 Aug 12]. Available from: https://ir.lib.uwo.ca/etd/6864.

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

Council of Science Editors:

Singha Roy S. Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning. [Thesis]. University of Western Ontario; 2020. Available from: https://ir.lib.uwo.ca/etd/6864

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


University of North Texas

11. Leong, Chee Wee. Modeling Synergistic Relationships Between Words and Images.

Degree: 2012, University of North Texas

 Texts and images provide alternative, yet orthogonal views of the same underlying cognitive concept. By uncovering synergistic, semantic relationships that exist between words and images,… (more)

Subjects/Keywords: Natural language processing; image; word; sematic; multimodal semantic spaces; cross-modal relatedness

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APA (6th Edition):

Leong, C. W. (2012). Modeling Synergistic Relationships Between Words and Images. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc177223/

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

Chicago Manual of Style (16th Edition):

Leong, Chee Wee. “Modeling Synergistic Relationships Between Words and Images.” 2012. Thesis, University of North Texas. Accessed August 12, 2020. https://digital.library.unt.edu/ark:/67531/metadc177223/.

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

MLA Handbook (7th Edition):

Leong, Chee Wee. “Modeling Synergistic Relationships Between Words and Images.” 2012. Web. 12 Aug 2020.

Vancouver:

Leong CW. Modeling Synergistic Relationships Between Words and Images. [Internet] [Thesis]. University of North Texas; 2012. [cited 2020 Aug 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc177223/.

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

Council of Science Editors:

Leong CW. Modeling Synergistic Relationships Between Words and Images. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc177223/

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


Virginia Commonwealth University

12. Henry, Sam. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.

Degree: PhD, Computer Science, 2019, Virginia Commonwealth University

  The exponential growth of scientific literature is creating an increased need for systems to process and assimilate knowledge contained within text. Literature Based Discovery… (more)

Subjects/Keywords: Literature Based Discovery; Semantic Association; Semantic Relatedness; Natural Language Processing; Data Mining; Text Processing; Text Mining; Other Computer Sciences

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APA (6th Edition):

Henry, S. (2019). Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855

Chicago Manual of Style (16th Edition):

Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed August 12, 2020. https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855.

MLA Handbook (7th Edition):

Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Web. 12 Aug 2020.

Vancouver:

Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2020 Aug 12]. Available from: https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855.

Council of Science Editors:

Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855

13. Arockiasamy, Savarimuthu. Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies.

Degree: Master of Computer Science, Computer Science and Systems Analysis, 2009, Miami University

Semantic similarity and relatedness measures assess how alike two words are within a language and are playing an important role in the development of the… (more)

Subjects/Keywords: Computer Science; Semantic similarity; Semantic relatedness; UMLS2SKOS

…measure user interface with results … 46 Figure 7.2.a Semantic relatedness measure user… …interface. …. 49 Figure 7.2.b Semantic relatedness measure user interface – Relational… …properties dropdown box …. 50 Figure 7.2.c Semantic relatedness measure user… …the development and use of semantic similarity and relatedness measures in tasks such as… …relatedness compute the semantic distance between concepts within a single ontology typically using… 

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APA (6th Edition):

Arockiasamy, S. (2009). Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1250095881

Chicago Manual of Style (16th Edition):

Arockiasamy, Savarimuthu. “Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies.” 2009. Masters Thesis, Miami University. Accessed August 12, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1250095881.

MLA Handbook (7th Edition):

Arockiasamy, Savarimuthu. “Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies.” 2009. Web. 12 Aug 2020.

Vancouver:

Arockiasamy S. Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies. [Internet] [Masters thesis]. Miami University; 2009. [cited 2020 Aug 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1250095881.

Council of Science Editors:

Arockiasamy S. Using the SKOS Model for Standardizing Semantic Similarity and Relatedness Measures for Ontological Terminologies. [Masters Thesis]. Miami University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1250095881

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

Degree: Design and Engineering, 2013, Mälardalen University

  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 (6th 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 (16th Edition):

Dagerman, Björn. “Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri.” 2013. Thesis, Mälardalen University. Accessed August 12, 2020. 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 (7th Edition):

Dagerman, Björn. “Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri.” 2013. Web. 12 Aug 2020.

Vancouver:

Dagerman B. Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri. [Internet] [Thesis]. Mälardalen University; 2013. [cited 2020 Aug 12]. 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


Arizona State University

15. Emadzadeh, Ehsan. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.

Degree: Biomedical Informatics, 2016, Arizona State University

 Text mining of biomedical literature and clinical notes is a very active field of research in biomedical science. Semantic analysis is one of the core… (more)

Subjects/Keywords: Computer science; Health sciences; Nanotechnology; biomedical informatics; natural language processing; semantic analysis; semantic relatedness; text mining

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

APA (6th Edition):

Emadzadeh, E. (2016). Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/38725

Chicago Manual of Style (16th Edition):

Emadzadeh, Ehsan. “Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.” 2016. Doctoral Dissertation, Arizona State University. Accessed August 12, 2020. http://repository.asu.edu/items/38725.

MLA Handbook (7th Edition):

Emadzadeh, Ehsan. “Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.” 2016. Web. 12 Aug 2020.

Vancouver:

Emadzadeh E. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. [Internet] [Doctoral dissertation]. Arizona State University; 2016. [cited 2020 Aug 12]. Available from: http://repository.asu.edu/items/38725.

Council of Science Editors:

Emadzadeh E. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. [Doctoral Dissertation]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/38725


Brno University of Technology

16. Novák, Ján. Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia.

Degree: 2018, Brno University of Technology

 This thesis deals with automatic acquiring thesauri from Wikipedia. It describes Wikipedia as a suitable data set for thesauri acquiring and also methods for computing… (more)

Subjects/Keywords: tezaurus; Wikipedie; Random Indexing; lexikální substituce; latentní sémantická analýza; sémantická blízkost termínů; sémantická podobnost termínů; Thesauri; Wikipedia; Random Indexing; Lexical Substitution; Latent Semantic Analysis; Semantic Term Similarity; Semantic Term Relatedness

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

APA (6th Edition):

Novák, J. (2018). Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54107

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

Chicago Manual of Style (16th Edition):

Novák, Ján. “Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia.” 2018. Thesis, Brno University of Technology. Accessed August 12, 2020. http://hdl.handle.net/11012/54107.

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

MLA Handbook (7th Edition):

Novák, Ján. “Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia.” 2018. Web. 12 Aug 2020.

Vancouver:

Novák J. Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/11012/54107.

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

Council of Science Editors:

Novák J. Automatická tvorba tezauru z wikipedie: Acquiring Thesauri from Wikipedia. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54107

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

17. Σπανάκης, Γεράσιμος. Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.

Degree: 2012, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 The rapid proliferation of digital text documents during the last years raises the need to create efficient organization and management systems. The textual content of… (more)

Subjects/Keywords: Σημασιολογική συσχέτιση; Αναπαράσταση εγγράφου; Ομαδοποίηση εγγράφων; Αυτό-οργανούμενοι χάρτες; Semantic relatedness; Document representation; Document clustering; Self-organizing maps

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APA (6th Edition):

Σπανάκης, . . (2012). Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/28179

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

Chicago Manual of Style (16th Edition):

Σπανάκης, Γεράσιμος. “Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.” 2012. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed August 12, 2020. http://hdl.handle.net/10442/hedi/28179.

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

MLA Handbook (7th Edition):

Σπανάκης, Γεράσιμος. “Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.” 2012. Web. 12 Aug 2020.

Vancouver:

Σπανάκης . Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/10442/hedi/28179.

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

Council of Science Editors:

Σπανάκης . Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. Available from: http://hdl.handle.net/10442/hedi/28179

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

18. Deloo, C.P.P. (author). Using semantic relatedness to improve the evaluation of multi-label classifiers.

Degree: 2013, Delft University of Technology

Different evaluation techniques can be used in order to assess the quality of a multi-label classification task. The most commonly used performance measures in classification… (more)

Subjects/Keywords: classifier evaluation; semantic relatedness; multi-label classification

…Measures of Semantic Relatedness 3.1 Graph-based measures . . . . 3.2 Corpus-based measures… …documents have been assigned labels that bear some strong semantic relatedness with the manually… …Objective degree of semantic relatedness between terms. Figure 1.2: Fragment of the Parliament… …using the notion of semantic relatedness. The research will be specifically based on the… …multi-label classification task by using the notion of semantic relatedness. A multi-label… 

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APA (6th Edition):

Deloo, C. P. P. (. (2013). Using semantic relatedness to improve the evaluation of multi-label classifiers. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8fb5b6f6-93a6-4aed-a446-013125541ff9

Chicago Manual of Style (16th Edition):

Deloo, C P P (author). “Using semantic relatedness to improve the evaluation of multi-label classifiers.” 2013. Masters Thesis, Delft University of Technology. Accessed August 12, 2020. http://resolver.tudelft.nl/uuid:8fb5b6f6-93a6-4aed-a446-013125541ff9.

MLA Handbook (7th Edition):

Deloo, C P P (author). “Using semantic relatedness to improve the evaluation of multi-label classifiers.” 2013. Web. 12 Aug 2020.

Vancouver:

Deloo CPP(. Using semantic relatedness to improve the evaluation of multi-label classifiers. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Aug 12]. Available from: http://resolver.tudelft.nl/uuid:8fb5b6f6-93a6-4aed-a446-013125541ff9.

Council of Science Editors:

Deloo CPP(. Using semantic relatedness to improve the evaluation of multi-label classifiers. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:8fb5b6f6-93a6-4aed-a446-013125541ff9


University of Central Florida

19. Szumlanski, Sean. Automatically Acquiring A Semantic Network Of Related Concepts.

Degree: 2013, University of Central Florida

 We describe the automatic acquisition of a semantic network in which over 7,500 of the most frequently occurring nouns in the English language are linked… (more)

Subjects/Keywords: Semantic relatedness; semantic networks; knowledge acquisition; semantic memory; lexical semantics; word sense disambiguation; natural language processing; computational linguistics; Computer Sciences; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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

APA (6th Edition):

Szumlanski, S. (2013). Automatically Acquiring A Semantic Network Of Related Concepts. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2585

Chicago Manual of Style (16th Edition):

Szumlanski, Sean. “Automatically Acquiring A Semantic Network Of Related Concepts.” 2013. Doctoral Dissertation, University of Central Florida. Accessed August 12, 2020. https://stars.library.ucf.edu/etd/2585.

MLA Handbook (7th Edition):

Szumlanski, Sean. “Automatically Acquiring A Semantic Network Of Related Concepts.” 2013. Web. 12 Aug 2020.

Vancouver:

Szumlanski S. Automatically Acquiring A Semantic Network Of Related Concepts. [Internet] [Doctoral dissertation]. University of Central Florida; 2013. [cited 2020 Aug 12]. Available from: https://stars.library.ucf.edu/etd/2585.

Council of Science Editors:

Szumlanski S. Automatically Acquiring A Semantic Network Of Related Concepts. [Doctoral Dissertation]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2585

20. Sani, Sadiq. Role of semantic indexing for text classification.

Degree: PhD, 2014, Robert Gordon University

 The Vector Space Model (VSM) of text representation suffers a number of limitations for text classification. Firstly, the VSM is based on the Bag-Of-Words (BOW)… (more)

Subjects/Keywords: 005.7; Semantic indexing; Text classification; Semantic relatedness; Supervised semantic indexing; Supervised indexing; Sentiment classification; Event extraction

relatedness between vocabulary terms. The effect of semantic indexing on document vectors is that… …the semantic relatedness between terms becomes encoded in the resulting term weights. While… …semantic relatedness of terms, this second type of semantic indexing uses explicit concepts as an… …used with any semantic relatedness metric and also, any effective term weighting approach. A… …representations that are more effective for sentiment classification by learning semantic relatedness… 

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

APA (6th Edition):

Sani, S. (2014). Role of semantic indexing for text classification. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/1133

Chicago Manual of Style (16th Edition):

Sani, Sadiq. “Role of semantic indexing for text classification.” 2014. Doctoral Dissertation, Robert Gordon University. Accessed August 12, 2020. http://hdl.handle.net/10059/1133.

MLA Handbook (7th Edition):

Sani, Sadiq. “Role of semantic indexing for text classification.” 2014. Web. 12 Aug 2020.

Vancouver:

Sani S. Role of semantic indexing for text classification. [Internet] [Doctoral dissertation]. Robert Gordon University; 2014. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/10059/1133.

Council of Science Editors:

Sani S. Role of semantic indexing for text classification. [Doctoral Dissertation]. Robert Gordon University; 2014. Available from: http://hdl.handle.net/10059/1133


University of Waterloo

21. Scriver, Aaron. Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness.

Degree: 2006, University of Waterloo

 Measures of semantic distance have received a great deal of attention recently in the field of computational lexical semantics. Although techniques for approximating the semantic(more)

Subjects/Keywords: Computer Science; relatedness; similarity; distance; lexical; semantic; computational; measure; wordnet

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APA (6th Edition):

Scriver, A. (2006). Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/1016

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

Chicago Manual of Style (16th Edition):

Scriver, Aaron. “Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness.” 2006. Thesis, University of Waterloo. Accessed August 12, 2020. http://hdl.handle.net/10012/1016.

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

MLA Handbook (7th Edition):

Scriver, Aaron. “Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness.” 2006. Web. 12 Aug 2020.

Vancouver:

Scriver A. Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness. [Internet] [Thesis]. University of Waterloo; 2006. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/10012/1016.

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

Council of Science Editors:

Scriver A. Semantic Distance in WordNet: A Simplified and Improved Measure of Semantic Relatedness. [Thesis]. University of Waterloo; 2006. Available from: http://hdl.handle.net/10012/1016

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

22. Witherell, Paul W. Semantic Methods for Intelligent Distributed Design Environments.

Degree: PhD, Mechanical Engineering, 2009, U of Massachusetts : PhD

  Continuous advancements in technology have led to increasingly comprehensive and distributed product development processes while in pursuit of improved products at reduced costs. Information… (more)

Subjects/Keywords: Distrubed Design; Engineering Design; Knolwedge-based Systems; Ontology; Semantic Relatedness; Semantic Web; Computer Sciences

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APA (6th Edition):

Witherell, P. W. (2009). Semantic Methods for Intelligent Distributed Design Environments. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/125

Chicago Manual of Style (16th Edition):

Witherell, Paul W. “Semantic Methods for Intelligent Distributed Design Environments.” 2009. Doctoral Dissertation, U of Massachusetts : PhD. Accessed August 12, 2020. https://scholarworks.umass.edu/open_access_dissertations/125.

MLA Handbook (7th Edition):

Witherell, Paul W. “Semantic Methods for Intelligent Distributed Design Environments.” 2009. Web. 12 Aug 2020.

Vancouver:

Witherell PW. Semantic Methods for Intelligent Distributed Design Environments. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2009. [cited 2020 Aug 12]. Available from: https://scholarworks.umass.edu/open_access_dissertations/125.

Council of Science Editors:

Witherell PW. Semantic Methods for Intelligent Distributed Design Environments. [Doctoral Dissertation]. U of Massachusetts : PhD; 2009. Available from: https://scholarworks.umass.edu/open_access_dissertations/125

23. Cameron, Delroy Huborn. A Context-Driven Subgraph Model for Literature-Based Discovery.

Degree: PhD, Computer Science and Engineering PhD, 2014, Wright State University

 Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature… (more)

Subjects/Keywords: Computer Science; Biomedical Research; Information Systems; Semantic Predications; Graph mining; Path clustering; Semantic relatedness; Literature-based discovery

…enhancements include specification of context, shared context, and semantic relatedness to facilitate… …Distribution of MeSH descriptors for Semantic Predications from Raynaud Syndrome – Dietary Fish Oils… …approaches remain mainly applicable in scenarios where both the predicates and semantic types of… …utilize abstractions of assertions extracted from scientific literature, called semantic… …predications. Semantic predications are binary relations between biomedical concepts, which take the… 

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

APA (6th Edition):

Cameron, D. H. (2014). A Context-Driven Subgraph Model for Literature-Based Discovery. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1417034001

Chicago Manual of Style (16th Edition):

Cameron, Delroy Huborn. “A Context-Driven Subgraph Model for Literature-Based Discovery.” 2014. Doctoral Dissertation, Wright State University. Accessed August 12, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1417034001.

MLA Handbook (7th Edition):

Cameron, Delroy Huborn. “A Context-Driven Subgraph Model for Literature-Based Discovery.” 2014. Web. 12 Aug 2020.

Vancouver:

Cameron DH. A Context-Driven Subgraph Model for Literature-Based Discovery. [Internet] [Doctoral dissertation]. Wright State University; 2014. [cited 2020 Aug 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1417034001.

Council of Science Editors:

Cameron DH. A Context-Driven Subgraph Model for Literature-Based Discovery. [Doctoral Dissertation]. Wright State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1417034001

24. Penta, Darrell J. Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production.

Degree: PhD, Department of Psychology, 2017, Northeastern University

 The sentence production system transforms preverbal messages in the mind of a speaker into coherent grammatical utterances. During this process, which unfolds rapidly, the system… (more)

Subjects/Keywords: agreement errors; association; language processing; semantic relatedness; sentence production; subject-verb agreement

…number related factors in agreement 1.3 Semantic relatedness and association 1 6 10 12… …Effects of Semantic Relatedness 3.1 Experiment 3 44 49 Chapter 4: General Discussion 59… …Semantic relatedness and association Semantic relatedness Barker et al. (2001) reported… …x29; semantic integration experiments controlled for relatedness by matching the local noun… …were clearly not dependent on variations in relatedness. Less clear was whether semantic… 

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

APA (6th Edition):

Penta, D. J. (2017). Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20253646

Chicago Manual of Style (16th Edition):

Penta, Darrell J. “Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production.” 2017. Doctoral Dissertation, Northeastern University. Accessed August 12, 2020. http://hdl.handle.net/2047/D20253646.

MLA Handbook (7th Edition):

Penta, Darrell J. “Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production.” 2017. Web. 12 Aug 2020.

Vancouver:

Penta DJ. Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/2047/D20253646.

Council of Science Editors:

Penta DJ. Words with friends: effects of associative and semantic relationships on subject-verb agreement errors during sentence production. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20253646


University of Toronto

25. Mohammad, Saif. Measuring Semantic Distance using Distributional Profiles of Concepts.

Degree: 2008, University of Toronto

Semantic distance is a measure of how close or distant in meaning two units of language are. A large number of important natural language problems,… (more)

Subjects/Keywords: Computational Linguistics; Natural Language Processing; Lexical semantics; semantic distance; distributional similarity; semantic similarity; semantic relatedness; word concept co-occurrence matrix; distributional profiles of concepts; thesaurus; corpus-based techniques; word senses; cross-lingual techniques; word sense dominance; word sense disambiguation; wordnet; 0984; 0800

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

APA (6th Edition):

Mohammad, S. (2008). Measuring Semantic Distance using Distributional Profiles of Concepts. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/11238

Chicago Manual of Style (16th Edition):

Mohammad, Saif. “Measuring Semantic Distance using Distributional Profiles of Concepts.” 2008. Doctoral Dissertation, University of Toronto. Accessed August 12, 2020. http://hdl.handle.net/1807/11238.

MLA Handbook (7th Edition):

Mohammad, Saif. “Measuring Semantic Distance using Distributional Profiles of Concepts.” 2008. Web. 12 Aug 2020.

Vancouver:

Mohammad S. Measuring Semantic Distance using Distributional Profiles of Concepts. [Internet] [Doctoral dissertation]. University of Toronto; 2008. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/1807/11238.

Council of Science Editors:

Mohammad S. Measuring Semantic Distance using Distributional Profiles of Concepts. [Doctoral Dissertation]. University of Toronto; 2008. Available from: http://hdl.handle.net/1807/11238


Georgia Southern University

26. Hazamy, Audrey A. Influence of Pictures on Word Recognition.

Degree: MSin Experimental Psychology (M.S.), Department of Psychology, 2009, Georgia Southern University

 The picture superiority effect is a well-documented phenomenon that is defined as the superior memory of pictorial stimuli compared to word stimuli. The predominant explanation… (more)

Subjects/Keywords: ETD; Picture superiority; Picture and word processing; Picture processing; Picture intrusion; Picture interference; Picture facilitation; Semantic relatedness; Word processing; Psychology of reading; Word recognition; Jack N. Averitt College of Graduate Studies, Electronic Theses & Dissertations, ETDs, Student Research

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

APA (6th Edition):

Hazamy, A. A. (2009). Influence of Pictures on Word Recognition. (Masters Thesis). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/430

Chicago Manual of Style (16th Edition):

Hazamy, Audrey A. “Influence of Pictures on Word Recognition.” 2009. Masters Thesis, Georgia Southern University. Accessed August 12, 2020. https://digitalcommons.georgiasouthern.edu/etd/430.

MLA Handbook (7th Edition):

Hazamy, Audrey A. “Influence of Pictures on Word Recognition.” 2009. Web. 12 Aug 2020.

Vancouver:

Hazamy AA. Influence of Pictures on Word Recognition. [Internet] [Masters thesis]. Georgia Southern University; 2009. [cited 2020 Aug 12]. Available from: https://digitalcommons.georgiasouthern.edu/etd/430.

Council of Science Editors:

Hazamy AA. Influence of Pictures on Word Recognition. [Masters Thesis]. Georgia Southern University; 2009. Available from: https://digitalcommons.georgiasouthern.edu/etd/430

27. Τσατσαρώνης, Γεώργιος. Word sense disambiguation and text relatedness based on word thesauri.

Degree: 2009, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

As the immense amount of text data increases rapidly over the years, the need to improve the quality of algorithms in text related tasks is… (more)

Subjects/Keywords: Αποσαφήνιση εννοιών λέξεων; Μέτρα σημασιολογικής ομοιότητας και εγγύτητας; Γλωσσικοί θησαυροί; Κατηγοριοποίηση κειμένων; Ανάκτηση πληροφοριών από κείμενα; Σημασιολογικά δίκτυα; Εξόρυξη γνώσης; Word sense disambiguation; Measures of lexical semantic relatedness and similarity; Word thesauri; Text classification; Text retrieval; Semantic networks; Text and web mining

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

APA (6th Edition):

Τσατσαρώνης, . . (2009). Word sense disambiguation and text relatedness based on word thesauri. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/17724

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

Chicago Manual of Style (16th Edition):

Τσατσαρώνης, Γεώργιος. “Word sense disambiguation and text relatedness based on word thesauri.” 2009. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed August 12, 2020. http://hdl.handle.net/10442/hedi/17724.

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

MLA Handbook (7th Edition):

Τσατσαρώνης, Γεώργιος. “Word sense disambiguation and text relatedness based on word thesauri.” 2009. Web. 12 Aug 2020.

Vancouver:

Τσατσαρώνης . Word sense disambiguation and text relatedness based on word thesauri. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/10442/hedi/17724.

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

Council of Science Editors:

Τσατσαρώνης . Word sense disambiguation and text relatedness based on word thesauri. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. Available from: http://hdl.handle.net/10442/hedi/17724

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

28. Xiao, Ping. Generating ideas for pictorial advertisements : starting with pictorial metaphors.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2014, Universitat Pompeu Fabra

 Al darrere de cada bon anunci publicitari hi ha un concepte creatiu, una "Idea Excel•lent". En contrast amb la gran quantitat d'anuncis, s’ han identificat… (more)

Subjects/Keywords: Computational Creativity; Creative System; Advertising; Idea; Ideation; Idea Template; Pictorial Advertisement; Advertising Image; Metaphor; Aptness; Connotation; Imageability; Clustering; Salience Imbalance; Secondary Properties; Semantic Relatedness; Creatividad Computacional; Sistema Creativo; Publicidad; Idea; Imagen Publicitaria; Metáfora; Aptitud; Generación de Metáforas; Connotación; Agrupación; Desbalance de Prominencia; Propiedades Segundarias; Similitud Semántica; Creativitat Computacional; Sistema Creatiu; Publicitat; Idea; Publicitat Pictòrica; Imatge Publicitària; Metàfora; Aptitud; Generació de Metàfora; Connotació; Agrupació; Desequilibri de Prominència; Propietats Secundàries; Similitud Semàntica; 62

…91 e) Semantic Relatedness Measures… …similarity with tenor, as kinds of semantic relatedness. Two different semantic relatedness… …Extracting Semantic Associations ...... 65 - Word Associations… …types of semantic relations. Moreover, we distinguish two types of selection criteria in the… …first retrieves strong associations for a given property from four semantic KBs, including two… 

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

APA (6th Edition):

Xiao, P. (2014). Generating ideas for pictorial advertisements : starting with pictorial metaphors. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/283093

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

Chicago Manual of Style (16th Edition):

Xiao, Ping. “Generating ideas for pictorial advertisements : starting with pictorial metaphors.” 2014. Thesis, Universitat Pompeu Fabra. Accessed August 12, 2020. http://hdl.handle.net/10803/283093.

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

MLA Handbook (7th Edition):

Xiao, Ping. “Generating ideas for pictorial advertisements : starting with pictorial metaphors.” 2014. Web. 12 Aug 2020.

Vancouver:

Xiao P. Generating ideas for pictorial advertisements : starting with pictorial metaphors. [Internet] [Thesis]. Universitat Pompeu Fabra; 2014. [cited 2020 Aug 12]. Available from: http://hdl.handle.net/10803/283093.

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

Council of Science Editors:

Xiao P. Generating ideas for pictorial advertisements : starting with pictorial metaphors. [Thesis]. Universitat Pompeu Fabra; 2014. Available from: http://hdl.handle.net/10803/283093

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

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