Statistical natural language processing

Results: 1681



#Item
11A Random Walk Framework to Compute Textual Semantic Similarity: a Unified Model for Three Benchmark Tasks Majid Yazdani Idiap Research Institute / EPFL Martigny / Lausanne, Switzerland

A Random Walk Framework to Compute Textual Semantic Similarity: a Unified Model for Three Benchmark Tasks Majid Yazdani Idiap Research Institute / EPFL Martigny / Lausanne, Switzerland

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Source URL: majid.yazdani.me

Language: English - Date: 2015-08-19 06:57:44
12A Hybrid Strategy for Knowledge Extraction from Biomedical Documents Margherita Berardi Michelangelo Ceci Donato Malerba Dipartimento di Informatica - University of Bari Via Orabona 4, 70125 Bari, Italy

A Hybrid Strategy for Knowledge Extraction from Biomedical Documents Margherita Berardi Michelangelo Ceci Donato Malerba Dipartimento di Informatica - University of Bari Via Orabona 4, 70125 Bari, Italy

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Source URL: www.dsi.unifi.it

Language: English - Date: 2009-12-17 04:49:47
13Mining Relations from Git Commit Messages — an Experience Report Rikard Andersson∗ , Morgan Ericsson†∗ , Anna Wingkvist† ∗ Chalmers | University of Gothenburg Gothenburg, Sweden

Mining Relations from Git Commit Messages — an Experience Report Rikard Andersson∗ , Morgan Ericsson†∗ , Anna Wingkvist† ∗ Chalmers | University of Gothenburg Gothenburg, Sweden

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Source URL: www2.lingfil.uu.se

Language: English - Date: 2014-10-16 02:36:21
14When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1

When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1

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Source URL: columbus.exp.sis.pitt.edu

Language: English - Date: 2016-01-15 09:51:26
15Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel  Maarten de Rijke

Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel Maarten de Rijke

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Source URL: staff.fnwi.uva.nl

Language: English - Date: 2016-01-31 09:27:39
16Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond by Jaime B. Teevan Submitted to the Department of Electrical Engineering and Computer

Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond by Jaime B. Teevan Submitted to the Department of Electrical Engineering and Computer

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Source URL: www.websci11.org

Language: English - Date: 2016-03-15 09:55:59
17precyseCode  ™ PrecyseCode™ is a single comprehensive Natural Language Processing PrecyseCode eases coding backlogs and Discharged Not Final Billed (NLP) platform that can optimize coding processes, accelerate the (D

precyseCode ™ PrecyseCode™ is a single comprehensive Natural Language Processing PrecyseCode eases coding backlogs and Discharged Not Final Billed (NLP) platform that can optimize coding processes, accelerate the (D

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Source URL: www.precyse.com

Language: English - Date: 2014-09-30 15:24:07
18IDENTIFYING WORDS THAT ARE MUSICALLY MEANINGFUL David Torres1 , Douglas Turnbull1 , Luke Barrington2 Gert Lanckriet2 Dept. of Computer Science and Engineering1 Dept. of Electrical and Computer Engineering2 University of

IDENTIFYING WORDS THAT ARE MUSICALLY MEANINGFUL David Torres1 , Douglas Turnbull1 , Luke Barrington2 Gert Lanckriet2 Dept. of Computer Science and Engineering1 Dept. of Electrical and Computer Engineering2 University of

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:25
19NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation † ‡ Tong Xiao

NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation † ‡ Tong Xiao

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Source URL: www.nlplab.cn

Language: English - Date: 2013-10-29 09:46:02
20•  Some slides on Paul and Dredze, 2012. Discovering Health Topics in Social Media Using Topic Models. PLOS ONE.

• Some slides on Paul and Dredze, 2012. Discovering Health Topics in Social Media Using Topic Models. PLOS ONE.

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Source URL: people.cs.umass.edu

Language: English - Date: 2015-02-11 14:02:11