A relation-specific attention network for joint entity and relation extraction

Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Joint extraction of entities and relations is an important task in natural language processing (NLP), which aims to capture all relational triplets from plain texts. This is a big challenge due to some of the triplets extracted from one sentence may have overlapping entities. Most existing methods perform entity recognition followed by relation detection between every possible entity pairs, which usually suffers from numerous redundant operations. In this paper, we propose a relation-specific attention network (RSAN) to handle the issue. Our RSAN utilizes relation-aware attention mechanism to construct specific sentence representations for each relation, and then performs sequence labeling to extract its corresponding head and tail entities. Experiments on two public datasets show that our model can effectively extract overlapping triplets and achieve state-of-the-art performance
Original languageEnglish
Title of host publicationProceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
EditorsChristian Bessiere
Place of PublicationMarina del Rey CA USA
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Pages4054-4060
Number of pages7
ISBN (Electronic)9780999241165
DOIs
Publication statusPublished - 2020
EventInternational Joint Conference on Artificial Intelligence-Pacific Rim International Conference on Artificial Intelligence 2020 - Yokohama, Japan
Duration: 7 Jan 202115 Jan 2021
Conference number: 29th/17th
https://www.ijcai.org/Proceedings/2020/ (Proceedings)
https://ijcai20.org (Website)

Conference

ConferenceInternational Joint Conference on Artificial Intelligence-Pacific Rim International Conference on Artificial Intelligence 2020
Abbreviated titleIJCAI-PRICAI 2020
CountryJapan
CityYokohama
Period7/01/2115/01/21
OtherIJCAI-PRICAI 2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence!IJCAI-PRICAI2020 will take place January 7-15, 2021 online in a virtual reality in Japanese Standard Time (JST) zone.
Internet address

Keywords

  • Natural Language Processing
  • Information Extraction
  • Knowledge Extraction
  • Data Mining
  • Mining Graphs
  • Semi Structured Data
  • Complex Data
  • Mining Text
  • Web
  • Social Media

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