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You searched for subject:(Phrase Mining). Showing records 1 – 7 of 7 total matches.

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1. He, Wenqi. Autoentity: automated entity detection from massive text corpora.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Entity detection is one of the fundamental tasks in Natural Language Processing and Information Retrieval. Most existing methods rely on human annotated data and hand-crafted… (more)

Subjects/Keywords: Entity detection; Phrase mining

…paper, which 1 tries to integrate quality phrase mining together with lexico-syntactic… …surface word patterns. Quality phrase mining is the task of automatically extracting salient… …phrases from a given corpus. A recent study of quality phrase mining [12], called… …relevant methods and concepts for named entity recognition and quality phrase mining. First in… …well as disadvantages. In Section 2.2, literature about phrase mining is introduced to… 

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

APA (6th Edition):

He, W. (2017). Autoentity: automated entity detection from massive text corpora. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97395

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):

He, Wenqi. “Autoentity: automated entity detection from massive text corpora.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/97395.

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

MLA Handbook (7th Edition):

He, Wenqi. “Autoentity: automated entity detection from massive text corpora.” 2017. Web. 11 Aug 2020.

Vancouver:

He W. Autoentity: automated entity detection from massive text corpora. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/97395.

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

Council of Science Editors:

He W. Autoentity: automated entity detection from massive text corpora. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97395

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


University of Illinois – Urbana-Champaign

2. Wang, Chi. Mining latent entity structures from massive unstructured and interconnected data.

Degree: PhD, 0112, 2015, University of Illinois – Urbana-Champaign

 The “big data” era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media,… (more)

Subjects/Keywords: data mining; text mining; information network; social network; network analysis; probabilistic graphical model; topic model; phrase mining; relation mining; Information Extraction

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

APA (6th Edition):

Wang, C. (2015). Mining latent entity structures from massive unstructured and interconnected data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72967

Chicago Manual of Style (16th Edition):

Wang, Chi. “Mining latent entity structures from massive unstructured and interconnected data.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/72967.

MLA Handbook (7th Edition):

Wang, Chi. “Mining latent entity structures from massive unstructured and interconnected data.” 2015. Web. 11 Aug 2020.

Vancouver:

Wang C. Mining latent entity structures from massive unstructured and interconnected data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/72967.

Council of Science Editors:

Wang C. Mining latent entity structures from massive unstructured and interconnected data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72967


University of Illinois – Urbana-Champaign

3. Gupta, Akshat. Pathfinder – an online shopping assistant driven by data mining.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Online Shopping is a household phrase that has been extremely successful in easing the lives of many people across the globe. Online shoppers spend ample… (more)

Subjects/Keywords: Data-mining; Text-mining; Reviews; Walmart; Amazon; Product-search; Probability; Word-association; Summary-generation; Related-words; Machine-learning; Information-retrieval; Search-engine; Key-phrase-highlighting; Walmart-application programming interface (API)

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

APA (6th Edition):

Gupta, A. (2017). Pathfinder – an online shopping assistant driven by data mining. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99362

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):

Gupta, Akshat. “Pathfinder – an online shopping assistant driven by data mining.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/99362.

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

MLA Handbook (7th Edition):

Gupta, Akshat. “Pathfinder – an online shopping assistant driven by data mining.” 2017. Web. 11 Aug 2020.

Vancouver:

Gupta A. Pathfinder – an online shopping assistant driven by data mining. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/99362.

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

Council of Science Editors:

Gupta A. Pathfinder – an online shopping assistant driven by data mining. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99362

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

4. Shang, Jingbo. Constructing and mining structured heterogeneous information networks from massive text corpora.

Degree: PhD, Computer Science, 2019, University of Illinois – Urbana-Champaign

 In today's information society, we are soaked with overwhelming amounts of natural-language text data, ranging from news articles and social media posts to research literature,… (more)

Subjects/Keywords: AutoNet; Phrase Mining; Entity Recognition; Topic Taxonomy; Automated; Distant Supervision

…1 2 8 9 10 CHAPTER 2 AUTOMATED PHRASE MINING 2.1 Overview and Motivations… …Phrase Mining As one of the fundamental tasks in text analysis, phrase mining aims at… …formulate and study an important problem, automated phrase mining, and analyze its major… …links and attributes in HIN. Both methods are built upon our phrase mining and entity… …Trump” by “$PER”) in context, and then applies our phrase mining methods on such “meta… 

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

APA (6th Edition):

Shang, J. (2019). Constructing and mining structured heterogeneous information networks from massive text corpora. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/106218

Chicago Manual of Style (16th Edition):

Shang, Jingbo. “Constructing and mining structured heterogeneous information networks from massive text corpora.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/106218.

MLA Handbook (7th Edition):

Shang, Jingbo. “Constructing and mining structured heterogeneous information networks from massive text corpora.” 2019. Web. 11 Aug 2020.

Vancouver:

Shang J. Constructing and mining structured heterogeneous information networks from massive text corpora. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/106218.

Council of Science Editors:

Shang J. Constructing and mining structured heterogeneous information networks from massive text corpora. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/106218


New Jersey Institute of Technology

5. Chen, Xin. Text mining with exploitation of user's background knowledge : discovering novel association rules from text.

Degree: PhD, Information Systems, 2006, New Jersey Institute of Technology

  The goal of text mining is to find interesting and non-trivial patterns or knowledge from unstructured documents. Both objective and subjective measures have been… (more)

Subjects/Keywords: Text mining; Association rule mining; Interestingness; Data mining; Noun phrase extraction; Databases and Information Systems; Management Information Systems

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

APA (6th Edition):

Chen, X. (2006). Text mining with exploitation of user's background knowledge : discovering novel association rules from text. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/742

Chicago Manual of Style (16th Edition):

Chen, Xin. “Text mining with exploitation of user's background knowledge : discovering novel association rules from text.” 2006. Doctoral Dissertation, New Jersey Institute of Technology. Accessed August 11, 2020. https://digitalcommons.njit.edu/dissertations/742.

MLA Handbook (7th Edition):

Chen, Xin. “Text mining with exploitation of user's background knowledge : discovering novel association rules from text.” 2006. Web. 11 Aug 2020.

Vancouver:

Chen X. Text mining with exploitation of user's background knowledge : discovering novel association rules from text. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2006. [cited 2020 Aug 11]. Available from: https://digitalcommons.njit.edu/dissertations/742.

Council of Science Editors:

Chen X. Text mining with exploitation of user's background knowledge : discovering novel association rules from text. [Doctoral Dissertation]. New Jersey Institute of Technology; 2006. Available from: https://digitalcommons.njit.edu/dissertations/742

6. Liu, Jialu. Constructing and modeling text-rich information networks: a phrase mining-based approach.

Degree: PhD, Computer Science, 2016, University of Illinois – Urbana-Champaign

 A lot of digital ink has been spilled on "big data" over the past few years, which is often characterized by an explosion of information.… (more)

Subjects/Keywords: Text-Rich Information Networks; Phrase Mining; Heterogeneous Information Network; Network Embedding; Keyphrase Extraction

…2.3 Phrase Mining . . . . . . . . . . . . . . . . . . . . . . . 2.4 Document Representations… …12 12 13 14 15 17 18 Chapter 3 A Data-Driven Approach for Phrase Mining 3.1 Phrase Quality… …and Phrasal Segmentation . . . . . . . . 3.2 Phrase Mining Framework… …have developed a phrase mining algorithm en route of tackling the above mentioned challenge… …1.1: Phrase Mining Given a large in-domain document corpus D with specific focus on certain… 

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

APA (6th Edition):

Liu, J. (2016). Constructing and modeling text-rich information networks: a phrase mining-based approach. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92777

Chicago Manual of Style (16th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 11, 2020. http://hdl.handle.net/2142/92777.

MLA Handbook (7th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Web. 11 Aug 2020.

Vancouver:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/2142/92777.

Council of Science Editors:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92777


Université de Lorraine

7. Narayan, Shashi. Generating and simplifying sentences : Génération et simplification des phrases.

Degree: Docteur es, Informatique, 2014, Université de Lorraine

Selon la représentation d’entrée, cette thèse étudie ces deux types : la génération de texte à partir de représentation de sens et à partir de… (more)

Subjects/Keywords: Génération de la langue naturelle; Génération de MR à texte; Génération de texte à texte; Réalisation de surface; Grammaire d’arbres adjoints; Formalisme grammatical; Extraction d’erreur et simplification de phrase; Natural Language Generation; MR-To-Text Generation; Text-To-Text Generation; Surface Realisation; Tree-Adjoining Grammar; Grammatical Formalism; Error Mining and Sentence Simplification; 410.285

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

APA (6th Edition):

Narayan, S. (2014). Generating and simplifying sentences : Génération et simplification des phrases. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2014LORR0166

Chicago Manual of Style (16th Edition):

Narayan, Shashi. “Generating and simplifying sentences : Génération et simplification des phrases.” 2014. Doctoral Dissertation, Université de Lorraine. Accessed August 11, 2020. http://www.theses.fr/2014LORR0166.

MLA Handbook (7th Edition):

Narayan, Shashi. “Generating and simplifying sentences : Génération et simplification des phrases.” 2014. Web. 11 Aug 2020.

Vancouver:

Narayan S. Generating and simplifying sentences : Génération et simplification des phrases. [Internet] [Doctoral dissertation]. Université de Lorraine; 2014. [cited 2020 Aug 11]. Available from: http://www.theses.fr/2014LORR0166.

Council of Science Editors:

Narayan S. Generating and simplifying sentences : Génération et simplification des phrases. [Doctoral Dissertation]. Université de Lorraine; 2014. Available from: http://www.theses.fr/2014LORR0166

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