@inproceedings{ostermann-etal-2017-aligning,
title = "Aligning Script Events with Narrative Texts",
author = "Ostermann, Simon and
Roth, Michael and
Thater, Stefan and
Pinkal, Manfred",
editor = "Ide, Nancy and
Herbelot, Aur{\'e}lie and
M{\`a}rquez, Llu{\'i}s",
booktitle = "Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*{SEM} 2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-1016/",
doi = "10.18653/v1/S17-1016",
pages = "128--134",
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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<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.</abstract>
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%0 Conference Proceedings
%T Aligning Script Events with Narrative Texts
%A Ostermann, Simon
%A Roth, Michael
%A Thater, Stefan
%A Pinkal, Manfred
%Y Ide, Nancy
%Y Herbelot, Aurélie
%Y Màrquez, Lluís
%S Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F ostermann-etal-2017-aligning
%X 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.
%R 10.18653/v1/S17-1016
%U https://aclanthology.org/S17-1016/
%U https://doi.org/10.18653/v1/S17-1016
%P 128-134
Markdown (Informal)
[Aligning Script Events with Narrative Texts](https://aclanthology.org/S17-1016/) (Ostermann et al., *SEM 2017)
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.