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Information Processing Language
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51	7KH)LIWK,QWHUQDWLRQDO:RUNVKRSRQ(YDOXDWLQJ,QIRUPDWLRQ$FFHVV(9,$-XQH7RN\R-DSDQ Nugget-Based Computation of Graded Relevance Charles L. A. Clarke Computer Science, University of Waterloo, Canada Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2013-05-26 20:43:50 Information science Information retrieval Information retrieval evaluation Natural language processing Relevance Precision and recall Ranking Relevance feedback
52	Mining Relations from Git Commit Messages — an Experience Report Rikard Andersson∗ , Morgan Ericsson†∗ , Anna Wingkvist† ∗ Chalmers \| University of Gothenburg Gothenburg, Sweden Add to Reading List Source URL: www2.lingfil.uu.se Language: English - Date: 2014-10-16 02:36:21 Linguistics Language Cognitive science Computational linguistics Natural language processing Named-entity recognition Relex Information extraction Statistical classification P versus NP problem Part-of-speech tagging Syntax
53	Learning Temporal-Dependent Ranking Models Miguel Costa, Francisco Couto, Mário Silva LaSIGE @ Faculty of Sciences, University of Lisbon IST/INESC-ID, University of Lisbon 37th Annual ACM SIGIR Conference, Gold Coast, A Add to Reading List Source URL: xldb.fc.ul.pt Language: English - Date: 2014-09-03 11:43:47 Information science Information retrieval Web archiving Natural language processing WebCite Special Interest Group on Information Retrieval Learning to rank Web search engine Temporal information retrieval
54	When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1 Add to Reading List Source URL: columbus.exp.sis.pitt.edu Language: English - Date: 2016-01-15 09:51:26 Statistical natural language processing Education Natural language processing Latent Dirichlet allocation Topic model Learning Textbook Information retrieval Digital textbook Ranking Publishing Bag-of-words model in computer vision
55	Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel Maarten de Rijke Add to Reading List Source URL: staff.fnwi.uva.nl Language: English - Date: 2016-01-31 09:27:39 Information science Information retrieval Artificial intelligence Natural language processing Statistical natural language processing Machine learning Language modeling Computational linguistics Latent semantic analysis Probabilistic latent semantic analysis Vector space model Language model
56	Knowledge Bases in the Age of Big Data Analytics Fabian M. Suchanek Gerhard Weikum Telecom ParisTech University Add to Reading List Source URL: resources.mpi-inf.mpg.de Language: English - Date: 2014-08-12 10:44:58 Computing Information science Artificial intelligence Computational linguistics Natural language processing Semantic Web Google Search Open data Knowledge Graph Freebase YAGO Cyc
57	Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond by Jaime B. Teevan Submitted to the Department of Electrical Engineering and Computer Add to Reading List Source URL: www.websci11.org Language: English - Date: 2016-03-15 09:55:59 Information science Statistical natural language processing Natural language processing Statistics Machine learning Information retrieval Bayesian network Probability distribution Tfidf Latent semantic analysis Probabilistic latent semantic analysis
58	DRAFT What the linguist has to say to the information scientist. Antoinette Renonf, Research and Development Unit for English Studies, School of English, University of Birmingham, Add to Reading List Source URL: rdues.bcu.ac.uk Language: English - Date: 2009-05-21 10:50:57 Linguistics Lexical semantics Semantics Computational linguistics Rhetoric Natural language processing Keyword Function word Synonym Phrase Word sense Word-sense disambiguation
59	Microsoft Word - sigir14_sp_terms_final.docx Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-01-14 06:40:31 Information science Information retrieval Information retrieval evaluation Internet search Natural language processing Query expansion Web search query Precision and recall Discounted cumulative gain Ranking Query likelihood model Web query classification
60	Predicting Viewer Affective Comments Based on Image Content in Social Media Yan-Ying Chen∗†§ ,Tao Chen§ ,Winston H. Hsu∗ ,Hong-Yuan Mark Liao† ,Shih-Fu Chang§ ∗ National Taiwan University, Taipei, Taiwan Add to Reading List Source URL: www.ee.columbia.edu Language: English - Date: 2014-03-08 19:17:29 Visual arts Philosophy Information Affective computing Natural language processing Sentiment analysis Affect Comment Picture archiving and communication system 291 Social media Perspective

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