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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
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            <namePart type="given">Soujanya</namePart>
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    <abstract>We introduce MCScript2.0, a machine comprehension corpus for the end-to-end evaluation of script knowledge. MCScript2.0 contains approx. 20,000 questions on approx. 3,500 texts, crowdsourced based on a new collection process that results in challenging questions. Half of the questions cannot be answered from the reading texts, but require the use of commonsense and, in particular, script knowledge. We give a thorough analysis of our corpus and show that while the task is not challenging to humans, existing machine comprehension models fail to perform well on the data, even if they make use of a commonsense knowledge base. The dataset is available at http://www.sfb1102.uni-saarland.de/?page_id=2582</abstract>
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%0 Conference Proceedings
%T MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants
%A Ostermann, Simon
%A Roth, Michael
%A Pinkal, Manfred
%Y Mihalcea, Rada
%Y Shutova, Ekaterina
%Y Ku, Lun-Wei
%Y Evang, Kilian
%Y Poria, Soujanya
%S Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F ostermann-etal-2019-mcscript2
%X We introduce MCScript2.0, a machine comprehension corpus for the end-to-end evaluation of script knowledge. MCScript2.0 contains approx. 20,000 questions on approx. 3,500 texts, crowdsourced based on a new collection process that results in challenging questions. Half of the questions cannot be answered from the reading texts, but require the use of commonsense and, in particular, script knowledge. We give a thorough analysis of our corpus and show that while the task is not challenging to humans, existing machine comprehension models fail to perform well on the data, even if they make use of a commonsense knowledge base. The dataset is available at http://www.sfb1102.uni-saarland.de/?page_id=2582
%R 10.18653/v1/S19-1012
%U https://aclanthology.org/S19-1012/
%U https://doi.org/10.18653/v1/S19-1012
%P 103-117

Markdown (Informal)

[MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants](https://aclanthology.org/S19-1012/) (Ostermann et al., *SEM 2019)

• MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants (Ostermann et al., *SEM 2019)

ACL

• Simon Ostermann, Michael Roth, and Manfred Pinkal. 2019. MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), pages 103–117, Minneapolis, Minnesota. Association for Computational Linguistics.