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    <abstract>The LSDSem‘17 shared task is the Story Cloze Test, a new evaluation for story understanding and script learning. This test provides a system with a four-sentence story and two possible endings, and the system must choose the correct ending to the story. Successful narrative understanding (getting closer to human performance of 100%) requires systems to link various levels of semantics to commonsense knowledge. A total of eight systems participated in the shared task, with a variety of approaches including.</abstract>
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%0 Conference Proceedings
%T LSDSem 2017 Shared Task: The Story Cloze Test
%A Mostafazadeh, Nasrin
%A Roth, Michael
%A Louis, Annie
%A Chambers, Nathanael
%A Allen, James
%Y Roth, Michael
%Y Mostafazadeh, Nasrin
%Y Chambers, Nathanael
%Y Louis, Annie
%S Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F mostafazadeh-etal-2017-lsdsem
%X The LSDSem‘17 shared task is the Story Cloze Test, a new evaluation for story understanding and script learning. This test provides a system with a four-sentence story and two possible endings, and the system must choose the correct ending to the story. Successful narrative understanding (getting closer to human performance of 100%) requires systems to link various levels of semantics to commonsense knowledge. A total of eight systems participated in the shared task, with a variety of approaches including.
%R 10.18653/v1/W17-0906
%U https://aclanthology.org/W17-0906/
%U https://doi.org/10.18653/v1/W17-0906
%P 46-51

Markdown (Informal)

[LSDSem 2017 Shared Task: The Story Cloze Test](https://aclanthology.org/W17-0906/) (Mostafazadeh et al., LSDSem 2017)

• LSDSem 2017 Shared Task: The Story Cloze Test (Mostafazadeh et al., LSDSem 2017)

ACL

• Nasrin Mostafazadeh, Michael Roth, Annie Louis, Nathanael Chambers, and James Allen. 2017. LSDSem 2017 Shared Task: The Story Cloze Test. In Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, pages 46–51, Valencia, Spain. Association for Computational Linguistics.