Abstract
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks. In this paper, we consider two recent datasets which provide a rich and general representation of script events in terms of paraphrase sets. We introduce the task of mapping event mentions in narrative texts to such script event types, and present a model for this task that exploits rich linguistic representations as well as information on temporal ordering. The results of our experiments demonstrate that this complex task is indeed feasible.
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CITATION STYLE
Ostermann, S., Roth, M., Thater, S., & Pinkal, M. (2017). Aligning script events with narrative texts. In *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings (pp. 128–134). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-1016
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