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Linking discourse modes and situation entity types in a cross-linguistic corpus study.

, , , , and . LSDSem@EMNLP, page 12-21. Association for Computational Linguistics, (2015)

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Genre Distinctions and Discourse Modes: Text Types Differ in their Situation Type Distributions., and . ArgNLP, volume 1341 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)IGT-XML: An XML Format for Interlinearized Glossed Text., and . LAW@ACL, page 176-183. Association for Computational Linguistics, (2007)Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet., and . COLING (Posters), page 928-936. Chinese Information Processing Society of China, (2010)Bringing Active Learning to Life., , and . COLING, page 949-957. Tsinghua University Press, (2010)How well does active learning., and . EMNLP, page 296-305. ACL, (2009)Situation entity types: automatic classification of clause-level aspect., , and . ACL (1), The Association for Computer Linguistics, (2016)Utilization of Multiple Language Resources for Robust Grammar-Based Tense and Aspect Classification., , and . LREC, European Language Resources Association, (2004)Annotating genericity: a survey, a scheme, and a corpus., , , and . LAW@NAACL-HLT, page 21-30. The Association for Computer Linguistics, (2015)Determining Event Durations: Models and Error Analysis., , and . NAACL-HLT (2), page 164-168. Association for Computational Linguistics, (2018)A Sequencing Model for Situation Entity Classification., , , and . ACL, The Association for Computational Linguistics, (2007)