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Measuring Thematic Fit with Distributional Feature Overlap.

, , , and . EMNLP, page 648-658. Association for Computational Linguistics, (2017)

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The Structure of Predication.. Synthese, 114 (2): 233-276 (1998)Computational Models of Language Meaning in Context (Dagstuhl Seminar 13462)., , and . Dagstuhl Reports, 3 (11): 79-116 (2013)Type and Thematic Fit in Logical Metonymy., , and . CogSci, cognitivesciencesociety.org, (2014)Same Same but Different: Type and Typicality in a Distributional Model of Complement Coercion, , and . Proceedings of NetWords, page 91--94. Pisa, Italy, (2015)UDLex: Towards Cross-language Subcategorization Lexicons., , and . DepLing, page 207-217. Linköping University Electronic Press, (2017)ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms., , , , and . AAAI, page 4262-4263. AAAI Press, (2016)Nine Features in a Random Forest to Learn Taxonomical Semantic Relations., , , , and . LREC, European Language Resources Association (ELRA), (2016)Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?, , , and . IWCS(1), The Association for Computer Linguistics, (2017)Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy., , , and . IWCS, page 404-410. The Association for Computer Linguistics, (2013)Emo2Val: Inferring Valence Scores from fine-grained Emotion Values., , and . CLiC-it, volume 2006 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)