FAQ Retrieval using Question-Aware Graph Convolutional Network and Conualized Language Model

Wan Ting Tseng, Chin Ying Wu, Yung Chang Hsu, Berlin Chen

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Frequently asked question (FAQ) retrieval, which seeks to provide the most relevant question, or question-answer (QA) pair, in response to a user's query, has found its applications in widespread use cases. More recently, methods based on bidirectional encoder representations from Transformers (BERT) and its variants, which typically take the word embeddings of a question in training time (or query in test time) as the input to predict relevant answers, have shown good promise for FAQ retrieval. However, these BERT-based methods do not pay enough attention to the global information specifically about an FAQ task. To cater for this, we in this paper put forward a question-aware graph convolutional network (QGCN) to induce vector embeddings of vocabulary words, thereby encapsulating the global question-question, question-word and word-word relations which can be used to augment the embeddings derived from BERT for better F AQ retrieval. Meanwhile, we also investigate leverage domain-specific knowledge graphs to enrich the question and query embeddings (denoted by K-BERT). Finally, we conduct extensive experiments to evaluate the utility of the proposed approaches on two publicly-available FAQ datasets (viz. TaipeiQA and StackF AQ), where the associated results confirm the promising efficacy of the proposed approach in comparison to some top-of-the-line methods.

原文英語
主出版物標題2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2006-2012
頁數7
ISBN(電子)9789881476890
出版狀態已發佈 - 2021
事件2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Tokyo, 日本
持續時間: 2021 12月 142021 12月 17

出版系列

名字2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings

會議

會議2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
國家/地區日本
城市Tokyo
期間2021/12/142021/12/17

ASJC Scopus subject areas

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理
  • 儀器

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