Information Extraction from Public Meeting Articles

• TANAKA Koji

  Osaka University

• ASHIHARA Kazuki

  Osaka University

• CHU Chenhui

  Osaka University

• NAKASHIMA Yuta

  Osaka University

• TAKEMURA Noriko

  Osaka University

• NAGAHARA Hajime

  Osaka University

• FUJIKAWA Takao

  Osaka University

Bibliographic Information

Other Title

• 公開集会記事からの情報抽出

Abstract

Public meeting articles are the key to understanding the history of public opinion and universal principles in Australia. By extracting information from public meeting articles, new insights into Australian history can be gain. In our study, we create an information extraction dataset in the public meeting domain and consider the information extraction method. We manually annotated information on the date, time, place, purpose, who requested the call, who called, and who was called, and created 118 gold articles. We proposed a method to extract information as a task of machine reading, and as a result of experiments, it was judged that there was no answer in the article for any of the extraction targets. This is because 95.20% of the public meeting data is not compatible with the extraction target.

Journal

• Proceedings of the Annual Conference of JSAI

  Proceedings of the Annual Conference of JSAI JSAI2020 (0), 3Rin405-3Rin405, 2020

  The Japanese Society for Artificial Intelligence

Keywords

• Public Meeting
• Information Extraction

Details

• CRID: 1390848250119660544
• NII Article ID: 130007857144
• DOI: 10.11517/pjsai.jsai2020.0_3rin405
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed