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Down-stream effects of tree-to-dependency conversions

, , , , , and . Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, page 617–626. Atlanta, Georgia, Association for Computational Linguistics, (June 2013)

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Any-language frame-semantic parsing., , and . EMNLP, page 2062-2066. The Association for Computational Linguistics, (2015)Predicting word sense annotation agreement., , , and . LSDSem@EMNLP, page 89-94. Association for Computational Linguistics, (2015)SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)., , , and . SemEval@NAACL-HLT, page 546-559. The Association for Computer Linguistics, (2016)Multilingual Projection for Parsing Truly Low-Resource Languages., , , , , and . TACL, (2016)Down-stream effects of tree-to-dependency conversions, , , , , and . Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, page 617–626. Atlanta, Georgia, Association for Computational Linguistics, (June 2013)Supersense tagging with inter-annotator disagreement., , and . LAW@ACL, The Association for Computer Linguistics, (2016)User Review Sites as a Resource for Large-Scale Sociolinguistic Studies., , and . WWW, page 452-461. ACM, (2015)Cross-Domain Answer Ranking using Importance Sampling., and . IJCNLP, page 987-991. Asian Federation of Natural Language Processing / ACL, (2013)Robust Learning in Random Subspaces: Equipping NLP for OOV Effects., and . COLING (Posters), page 1171-1180. Indian Institute of Technology Bombay, (2012)More or less supervised supersense tagging of Twitter., , , , and . *SEM@COLING, page 1-11. The *SEM 2014 Organizing Committee, (2014)