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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/2x36g84ob95p

Abstract

We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. Our dataset complements similar datasets in that we focus on stories about everyday activities, such as going to the movies or working in the garden, and that the questions require commonsense knowledge, or more specifically, script knowledge, to be answered. We show that our mode of data collection via crowdsourcing results in a substantial amount of such inference questions. The dataset forms the basis of a shared task on commonsense and script knowledge organized at SemEval 2018 and provides challenging test cases for the broader natural language understanding community.

Details

Paper ID
lrec2018-main-564
Pages
N/A
BibKey
ostermann-etal-2018-mcscript
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 May 2018 12 May 2018

Authors

  • SO

    Simon Ostermann

  • AM

    Ashutosh Modi

  • MR

    Michael Roth

  • ST

    Stefan Thater

  • MP

    Manfred Pinkal

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