Aligning Script Events with Narrative Texts

Simon Ostermann, Michael Roth, Stefan Thater, Manfred Pinkal


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.
Anthology ID:
S17-1016
Original:
S17-1016v1
Version 2:
S17-1016v2
Volume:
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venues:
*SEM | SemEval
SIGs:
SIGSEM | SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
128–134
Language:
URL:
https://aclanthology.org/S17-1016
DOI:
10.18653/v1/S17-1016
Bibkey:
Cite (ACL):
Simon Ostermann, Michael Roth, Stefan Thater, and Manfred Pinkal. 2017. Aligning Script Events with Narrative Texts. In Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017), pages 128–134, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
Aligning Script Events with Narrative Texts (Ostermann et al., SemEval 2017)
Copy Citation:
PDF:
https://aclanthology.org/S17-1016.pdf