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Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion.

, , , and . EACL (1), page 742-753. Association for Computational Linguistics, (2017)

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Projecting Away the Class Imbalance Problem in Author Attribution., , , and . Int. J. Semantic Computing, 3 (3): 365-382 (2009)Qanda and the Catalyst Architecture., , , , , , and . TREC, Special Publication 500-250, National Institute of Standards and Technology (NIST), (2001)Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion., , , and . EACL (1), page 742-753. Association for Computational Linguistics, (2017)Cats Rule and Dogs Drool!: Classifying Stance in Online Debate., , , , , and . WASSA@ACL, page 1-9. Association for Computational Linguistics, (2011)Annotating the Focus of Negation in terms of Questions Under Discussion., and . ExProM@ACL, page 65-69. Association for Computational Linguistics, (2012)On the hardness of recognizing triangular line graphs., , , , and . Discrete Mathematics, 312 (17): 2627-2638 (2012)Looking Under the Hood : Tools for Diagnosing your Question Answering Engine, , , , , , , and . CoRR, (2001)Using Summarization to Discover Argument Facets in Online Idealogical Dialog., , , and . HLT-NAACL, page 430-440. The Association for Computational Linguistics, (2015)POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity., and . WASSA@ACL, page 84-88. The Association for Computer Linguistics, (2012)Extracting Contextual Evaluativity., and . IWCS, The Association for Computer Linguistics, (2011)