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Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023.
Goebel, Randy; Kano, Yoshinobu; Kim, Mi-Young; Rabelo, Juliano; Satoh, Ken; Yoshioka, Masaharu.
Afiliação
  • Goebel R; Department of Computing Science and Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB Canada.
  • Kano Y; Faculty of Informatics, Shizuoka University, Hamamatsu, Shizuoka, Japan.
  • Kim MY; Department of Science, Augustana Faculty, University of Alberta, Edmonton AB, Canada.
  • Rabelo J; Alberta Machine Intelligence Institute, University of Alberta, Edmonton, Alberta Canada.
  • Satoh K; National Institute of Informatics, Chiyoda-ku, Tokyo, Japan.
  • Yoshioka M; Faculty of Information Science and Technology, Hokkaido University, Sapporo-shi, Hokkaido Japan.
Rev Socionetwork Strateg ; 18(1): 27-47, 2024.
Article em En | MEDLINE | ID: mdl-38646588
ABSTRACT
We summarize the 10th Competition on Legal Information Extraction and Entailment. In this tenth edition, the competition included four tasks on case law and statute law. The case law component includes an information retrieval task (Task 1), and the confirmation of an entailment relation between an existing case and a selected unseen case (Task 2). The statute law component includes an information retrieval task (Task 3), and an entailment/question-answering task based on retrieved civil code statutes (Task 4). Participation was open to any group based on any approach. Ten different teams participated in the case law competition tasks, most of them in more than one task. We received results from 8 teams for Task 1 (22 runs) and seven teams for Task 2 (18 runs). On the statute law task, there were 9 different teams participating, most in more than one task. 6 teams submitted a total of 16 runs for Task 3, and 9 teams submitted a total of 26 runs for Task 4. We describe the variety of approaches, our official evaluation, and analysis of our data and submission results.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Socionetwork Strateg Ano de publicação: 2024 Tipo de documento: Article País de publicação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Socionetwork Strateg Ano de publicação: 2024 Tipo de documento: Article País de publicação: Japão