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        <title>Distractor Generation for Chinese Fill-in-the-blank Items</title>
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            <title>Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications</title>
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    <abstract>This paper reports the first study on automatic generation of distractors for fill-in-the-blank items for learning Chinese vocabulary. We investigate the quality of distractors generated by a number of criteria, including part-of-speech, difficulty level, spelling, word co-occurrence and semantic similarity. Evaluations show that a semantic similarity measure, based on the word2vec model, yields distractors that are significantly more plausible than those generated by baseline methods.</abstract>
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    <identifier type="doi">10.18653/v1/W17-5015</identifier>
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%0 Conference Proceedings
%T Distractor Generation for Chinese Fill-in-the-blank Items
%A Jiang, Shu
%A Lee, John
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F jiang-lee-2017-distractor
%X This paper reports the first study on automatic generation of distractors for fill-in-the-blank items for learning Chinese vocabulary. We investigate the quality of distractors generated by a number of criteria, including part-of-speech, difficulty level, spelling, word co-occurrence and semantic similarity. Evaluations show that a semantic similarity measure, based on the word2vec model, yields distractors that are significantly more plausible than those generated by baseline methods.
%R 10.18653/v1/W17-5015
%U https://aclanthology.org/W17-5015
%U https://doi.org/10.18653/v1/W17-5015
%P 143-148

Markdown (Informal)

[Distractor Generation for Chinese Fill-in-the-blank Items](https://aclanthology.org/W17-5015) (Jiang & Lee, BEA 2017)

• Distractor Generation for Chinese Fill-in-the-blank Items (Jiang & Lee, BEA 2017)

ACL

• Shu Jiang and John Lee. 2017. Distractor Generation for Chinese Fill-in-the-blank Items. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 143–148, Copenhagen, Denmark. Association for Computational Linguistics.