A FAQ Search Training Method Based on Automatically Generated Questions

Takuya Makino, Tomoya Noro, Hiyori Yoshikawa, Tomoya Iwakura, Satoshi Sekine, Kentaro Inui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a FAQ search method with automatically generated questions by a question generator created from community Q&As. In our method, a search model is trained with automatically generated questions and their corresponding FAQs. We conducted experiments on a Japanese Q&A dataset created from a user support service on Twitter. The proposed method showed better Mean Reciprocal Rank and Recall@1 than a FAQ ranking model trained with the same community Q&As.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Proceedings
EditorsLun-Wei Ku, Jui-Feng Yeh, Liang-Chih Yu, Yuen-Hsien Tseng, Zhi-Hong Chen, Tetsuya Sakai, Jing Jiang, Lung-Hao Lee, Dae Hoon Park
PublisherSpringer Verlag
Pages67-73
Number of pages7
ISBN (Print)9783030035198
DOIs
Publication statusPublished - 2018
Event14th Asia Information Retrieval Societies conference, AIRS 2018 - Taipei, Taiwan, Province of China
Duration: 2018 Nov 282018 Nov 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11292 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th Asia Information Retrieval Societies conference, AIRS 2018
Country/TerritoryTaiwan, Province of China
CityTaipei
Period18/11/2818/11/30

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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