HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method

Yuxiang Zhang, Hayato Yamana

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Multiple-choice question answering (MCQA) for machine reading comprehension (MRC) is challenging. It requires a model to select a correct answer from several candidate options related to text passages or dialogue. To select the correct answer, such models must have the ability to understand natural languages, comprehend textual representations, and infer the relationship between candidate options, questions, and passages. Previous models calculated representations between passages and question-option pairs separately, thereby ignoring the effect of other relation-pairs. In this study, we propose a human reading comprehension attention (HRCA) model and a passage-question-option (PQO) matrix-guided HRCA model called HRCA+ to increase accuracy. The HRCA model updates the information learned from the previous relation-pair to the next relation-pair. HRCA+ utilizes the textual information and the interior relationship between every two parts in a passage, a question, and the corresponding candidate options. Our proposed method outperforms other state-of-the-art methods. On the Semeval-2018 Task 11 dataset, our proposed method improved accuracy levels from 95.8% to 97.2%, and on the DREAM dataset, it improved accuracy levels from 90.4% to 91.6% without extra training data, from 91.8% to 92.6% with extra training data.

本文言語English
ホスト出版物のタイトル2022 Language Resources and Evaluation Conference, LREC 2022
編集者Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis
出版社European Language Resources Association (ELRA)
ページ6059-6068
ページ数10
ISBN(電子版)9791095546726
出版ステータスPublished - 2022
イベント13th International Conference on Language Resources and Evaluation Conference, LREC 2022 - Marseille, France
継続期間: 2022 6月 202022 6月 25

出版物シリーズ

名前2022 Language Resources and Evaluation Conference, LREC 2022

Conference

Conference13th International Conference on Language Resources and Evaluation Conference, LREC 2022
国/地域France
CityMarseille
Period22/6/2022/6/25

ASJC Scopus subject areas

  • 言語および言語学
  • 図書館情報学
  • 言語学および言語
  • 教育

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