Question generation through transfer learning

Yin Hsiang Liao, Jia Ling Koh*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

An automatic question generation (QG) system aims to produce questions from a text, such as a sentence or a paragraph. Traditional approaches are mainly based on heuristic, hand-crafted rules to transduce a declarative sentence to a related interrogative sentence. However, creating such a set of rules requires deep linguistic knowledge and most of these rules are language-specific. Although a data-driven approach reduces the participation of linguistic experts, to get sufficient labeled data for QG model training is still a difficult task. In this paper, we applied a neural sequence-to-sequence pointer-generator network with various transfer learning strategies to capture the underlying information of making a question, on a target domain with rare training pairs. Our experiment demonstrates the viability of domain adaptation in QG task. We also show the possibility that transfer learning is helpful in a semi-supervised approach when the amount of training pairs in the target QG dataset is not large enough.

原文英語
主出版物標題Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings
編輯Hamido Fujita, Jun Sasaki, Philippe Fournier-Viger, Moonis Ali
發行者Springer Science and Business Media Deutschland GmbH
頁面3-17
頁數15
ISBN(列印)9783030557881
DOIs
出版狀態已發佈 - 2020
事件33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020 - Kitakyushu, 日本
持續時間: 2020 九月 222020 九月 25

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12144 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020
國家/地區日本
城市Kitakyushu
期間2020/09/222020/09/25

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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