SemEval

Results: 260



#Item
21A Replication Study of the Top Performing Systems in SemEval Twitter Sentiment Analysis Efstratios Sygkounas1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1  EURECOM, Sophia Antipolis, France,

A Replication Study of the Top Performing Systems in SemEval Twitter Sentiment Analysis Efstratios Sygkounas1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France,

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Source URL: giusepperizzo.github.io

Language: English - Date: 2016-08-05 11:54:54
22Linguistics / Computational linguistics / Academia / Language / Computational lexicology / WordNet / SemEval / Word-sense disambiguation / Lexicology / Semantic network / Lexicon / Lexical

Encyclopedia of Language and Linguistics (2nd ed.), Elsevier Publishers, Oxford (forthcoming) Encyclopedia of Language and Linguistics (2nd ed.), Elsevier Publishers, Oxford (forthcoming) Computational Lexicons and Dict

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Source URL: www.clres.com

Language: English - Date: 2005-03-25 21:54:09
23Dependency-based Topic-Oriented Sentiment Analysis in Microposts  Prasadith Buddhitha and Diana Inkpen University of Ottawa School of Information Technology and Engineering Ottawa, ON, K1N6N5, Canada

Dependency-based Topic-Oriented Sentiment Analysis in Microposts Prasadith Buddhitha and Diana Inkpen University of Ottawa School of Information Technology and Engineering Ottawa, ON, K1N6N5, Canada

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Source URL: ceur-ws.org

Language: English - Date: 2015-10-12 18:58:30
24PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

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Source URL: wordnet.cs.princeton.edu

Language: English - Date: 2007-05-16 20:26:21
25The ACL RD-TEC 2.0: A Language Resource for Evaluating Term Extraction and Entity Recognition Methods Behrang QasemiZadeh† and Anne-Kathrin Schumann‡ †  ‡

The ACL RD-TEC 2.0: A Language Resource for Evaluating Term Extraction and Entity Recognition Methods Behrang QasemiZadeh† and Anne-Kathrin Schumann‡ † ‡

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Source URL: pars.ie

Language: English - Date: 2016-03-08 09:35:07
26Singletons and Coreference Resolution Evaluation  ¨ Sandra Kubler Indiana University

Singletons and Coreference Resolution Evaluation ¨ Sandra Kubler Indiana University

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Source URL: cl.indiana.edu

Language: English - Date: 2011-11-07 17:16:31
27Josef Ruppenhofer, Julia Maria Struß, Jonathan Sonntag, Stefan Gindl  IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches  Accurate opinion mining requires the exact identification of the so

Josef Ruppenhofer, Julia Maria Struß, Jonathan Sonntag, Stefan Gindl IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches Accurate opinion mining requires the exact identification of the so

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Source URL: www.jlcl.org

Language: English - Date: 2014-08-19 06:17:15
28CorEA: Italian News Corpus with Emotions and Agreement Fabio Celli University of Trento Via Sommarive 5, Trento, Italy

CorEA: Italian News Corpus with Emotions and Agreement Fabio Celli University of Trento Via Sommarive 5, Trento, Italy

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Source URL: www.sensei-conversation.eu

Language: English - Date: 2014-10-28 17:51:09
29Probabilistic Frame-Semantic Parsing Dipanjan Das Nathan Schneider Desai Chen Noah A. Smith School of Computer Science Carnegie Mellon University

Probabilistic Frame-Semantic Parsing Dipanjan Das Nathan Schneider Desai Chen Noah A. Smith School of Computer Science Carnegie Mellon University

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Source URL: homes.cs.washington.edu

Language: English - Date: 2015-07-30 17:50:50
30Notes on Barbecued Opakapaka: Ontology in Preposition Patterns Ken Litkowski CL Research 9208 Gue Road Damascus, MD 20872, USA

Notes on Barbecued Opakapaka: Ontology in Preposition Patterns Ken Litkowski CL Research 9208 Gue Road Damascus, MD 20872, USA

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Source URL: www.clres.com

Language: English - Date: 2015-09-23 14:47:35