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Hits 1 – 11 of 11

1
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models ...
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2
TellMeWhy: A Dataset for Answering Why-Questions in Narratives ...
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3
Conditional Generation of Temporally-ordered Event Sequences ...
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4
Modeling Label Semantics for Predicting Emotional Reactions ...
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5
Advances in statistical script learning
Pichotta, Karl. - 2017
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6
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
In: DTIC (2013)
Abstract: This paper describes a dual-classifier approach to contextual sentiment analysis at the SemEval-2013 Task 2. Contextual analysis of polarity focuses on a word or phrase, rather than the broader task of identifying the sentiment of an entire text. The Task 2 definition includes target word spans that range in size from a single word to entire sentences. However the context of a single word is dependent on the word's surrounding syntax, while a phrase contains most of the polarity within itself. We thus describe separate treatment with two independent classifiers, outperforming the accuracy of a single classifier. Our system ranked 6th out of 19 teams on SMS message classification, and 8th of 23 on twitter data. We also show a surprising result that a very small amount of word context is needed for high-performance polarity extraction. ; See also ADA587003. Presented at the SEM 2013: The Second Joint Conference on Lexical and Computational Semantics, Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) Held in Atlanta, Georgia on June 14-15, 2013. Sponsored in part by Defense Advanced Research Projects Agency \201DARPA\202.
Keyword: *WORDS(LANGUAGE); CLASSIFICATION; EXTRACTION; Linguistics; PHRASE STRUCTURE GRAMMARS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA587816
http://www.dtic.mil/docs/citations/ADA587816
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7
NavyTime: Event and Time Ordering from Raw Text
In: DTIC (2013)
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8
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
In: DTIC (2012)
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9
Labeling Documents with Timestamps: Learning from their Time Expressions
In: DTIC (2012)
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10
Improving the use of pseudo-words for evaluating selectional preferences
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 445-453
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11
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
In: DTIC (2004)
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