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Conference Papers
, 2015, 'Harnessing context incongruity for sarcasm detection', in Acl Ijcnlp 2015 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing Proceedings of the Conference, pp. 757 - 762, http://dx.doi.org/10.3115/v1/p15-2124
, 2015, 'Your sentiment precedes you: Using an author's historical tweets to predict sarcasm', in 6th Workshop on Computational Approaches to Subjectivity Sentiment and Social Media Analysis Wassa 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing Emnlp 2015 Proceedings, pp. 25 - 30
, 2014, 'A cognitive study of subjectivity extraction in sentiment annotation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 142 - 146
, 2014, 'Measuring Sentiment Annotation Complexity of text', in 52nd Annual Meeting of the Association for Computational Linguistics Acl 2014 Proceedings of the Conference, pp. 36 - 41, http://dx.doi.org/10.3115/v1/p14-2007
, 2013, 'Making Headlines in Hindi: Automatic English to Hindi News Headline Translation', in 6th International Joint Conference on Natural Language Processing Ijcnlp 2013 Companion Volume of the Proceedings System Demonstrations, pp. 21 - 24
, 2012, 'Cost and benefit of using wordnet senses for sentiment analysis', in Proceedings of the 8th International Conference on Language Resources and Evaluation Lrec 2012, pp. 3090 - 3097
, 2011, 'C-Feel-It: A sentiment analyzer for micro-blogs', in Acl Hlt 2011 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies Proceedings of Student Session, pp. 127 - 132
, 2011, 'Harnessing WordNet senses for supervised sentiment classification', in Emnlp 2011 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 1081 - 1091
, 2011, 'Robust Sense-Based Sentiment Classification', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 132 - 138