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Word sense
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#	Item
371	CHAPTER 26. THE EVALUATION OF CONFERENCE PAPER PROPOSALS IN LINGUISTICS Françoise Boch, Fanny Rinck, and Aurélie Nardy Add to Reading List Source URL: wac.colostate.edu Language: English - Date: 2012-10-17 22:26:05 Knowledge Natural language processing Academic literature Academic publishing Peer review Scientific method Word-sense disambiguation Science Linguistics Computational linguistics
372	INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis Paul Buitelaar Sapna Negi Insight Centre for Data Analytics Insight Centre for Data Analytics Add to Reading List Source URL: alt.qcri.org Language: English - Date: 2014-08-06 10:24:50 Science Semantics Grammar Sentiment analysis Word-sense disambiguation SemEval Polarity item Supervised learning Verb Linguistics Natural language processing Computational linguistics
373	NLPR at TREC 2004: Robust Experiments Jin Xu, Jun Zhao, Bo Xu National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science Beijing, China { jxu, jzhao, bxu }@nlpr.ia.ac.cn Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2005-02-10 13:20:34 Natural language processing Computational linguistics Statistical natural language processing Tf*idf Lemur Project Text Retrieval Conference Word-sense disambiguation Query expansion Document retrieval Information science Information retrieval Science
374	The Descent of Hierarchy, and Selection in Relational Semantics Barbara Rosario SIMS UC Berkeley Berkeley, CA 94720 Add to Reading List Source URL: bailando.sims.berkeley.edu Language: English - Date: 2002-05-10 20:37:36 Semantics Knowledge representation Parts of speech WordNet Noun Word-sense disambiguation Lexical item Hyponymy Theta role Linguistics Lexical semantics Computational linguistics
375	Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying (Extended Abstract)∗ Karthik Dinakar, Rosalind Picard, Henry Lieberman Massachusetts Institute of Technology Cambridge, MA {karthik,pica Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2015-03-14 18:36:18 Natural language processing Artificial intelligence Open Mind Common Sense Machine learning Formspring Cyber-bullying Word-sense disambiguation Abuse Supervised learning Linguistics Science Computational linguistics
376	Political Tendency Identification in Twitter using Sentiment Analysis Techniques Ferran Pla and Llu´ıs-F. Hurtado Departament de Sistemes Inform`atics i Computaci´o Universitat Polit`ecnica de Val`encia Cam´ı Vera s Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:26 Government of Spain Twitter Computational linguistics Real-time web Text messaging Sentiment analysis Mariano Rajoy Word-sense disambiguation Microblogging Congress of Deputies Politics of Spain Natural language processing
377	Annotating the MASC Corpus with BabelNet Andrea Moro† , Roberto Navigli† , Francesco Maria Tucci† , Rebecca J. Passonneau‡ † ‡ Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2014-05-14 10:23:55 Word-sense disambiguation American National Corpus WordNet Semantic similarity SemEval Semantic network Natural language processing General Architecture for Text Engineering Sense and reference Linguistics Computational linguistics Science
378	Overview of the TREC 2004 Novelty Track Ian Soboroff National Institute of Standards and Technology Gaithersburg, MDAbstract Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2005-10-27 10:37:47 Information Relevance feedback Text Retrieval Conference Precision and recall Relevance Word-sense disambiguation Search engine indexing Subject Document retrieval Information science Science Information retrieval
379	Odors and Health What are odors? An odor is another word for a smell. When you notice an odor, that tells you that you are exposed to something in the air that triggered your sense of smell. An odor might be due to a sin Add to Reading List Source URL: www.health.ny.gov Language: English Chemistry Health Odor Environmental health Air freshener Cleaning Mold growth assessment and remediation Ventilation Volatile organic compound Building biology Fragrances Olfaction
380	Training Context-Sensitive Neural Networks With Few Relevant Examples for the TREC-9 Routing Mathieu Stricker ,* Frantz Vichot * Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2001-02-14 12:22:20 Natural language processing Text Retrieval Conference Document retrieval Relevance Precision and recall Word-sense disambiguation Document classification Search engine indexing Information science Information retrieval Science

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