The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields

Lung Hao Lee, Kuei Ching Lee, Yuen Hsien Tseng

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify keyphrases along with categorized labels and their relations from scientific publications. A total of 16 teams participated in evaluation scenario 1 (subtasks A, B, and C), with only 7 teams competing in all subtasks. Our best micro-averaging F1 across the three subtasks is 0.23, ranking in the middle among all 16 submissions.

原文英語
主出版物標題ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop
發行者Association for Computational Linguistics (ACL)
頁面951-955
頁數5
ISBN(電子)9781945626555
出版狀態已發佈 - 2017
事件11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, 加拿大
持續時間: 2017 8月 32017 8月 4

出版系列

名字Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN(列印)0736-587X

會議

會議11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
國家/地區加拿大
城市Vancouver
期間2017/08/032017/08/04

ASJC Scopus subject areas

  • 電腦科學應用
  • 語言和語言學
  • 語言與語言學

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