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The interpretation of the lexical aspect of verbs in English plays a crucialrole for recognizing textual entailment and learning discourse-levelinferences. We show that two elementary dimensions of aspectual class, statesvs. events, and telic vs. atelic events, can be modelled effectively withdistributional semantics. We find that a verb's local context is mostindicative of its aspectual class, and demonstrate that closed class words tendto be stronger discriminating contexts than content words. Our approachoutperforms previous work on three datasets. Lastly, we contribute a dataset ofhuman--human conversations annotated with lexical aspect and presentexperiments that show the correlation of telicity with genre and discoursegoals.

Aspectuality Across Genre: A Distributional Semantics Approach