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Venkata Govindarajan
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Journal Articles
Publisher: Journals Gateway
Transactions of the Association for Computational Linguistics (2019) 7: 501–517.
Published: 01 September 2019
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We present a novel semantic framework for modeling linguistic expressions of generalization— generic , habitual , and episodic statements —as combinations of simple, real-valued referential properties of predicates and their arguments. We use this framework to construct a dataset covering the entirety of the Universal Dependencies English Web Treebank. We use this dataset to probe the efficacy of type-level and token-level information—including hand-engineered features and static (GloVe) and contextual (ELMo) word embeddings—for predicting expressions of generalization.