Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation

Sanghak Lee, Seungmin Seo, Byungkook Oh, Kyong Ho Lee, Donghoon Shin, Yeonsoo Lee

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

Abstract

This paper presents an efficient method of extracting n-ary relations from multiple sentences which is called Entity-path and Discourse relation-centric Relation Extractor (EDCRE). Unlike previous approaches, the proposed method focuses on an entity link, which consists of dependency edges between entities, and discourse relations between sentences. Specifically, the proposed model consists of two main sub-models. The first one encodes sentences with a higher weight on the entity link while considering the other edges with an attention mechanism. To consider various latent discourse relations between sentences, the second sub-model encodes discourse relations between adjacent sentences considering the contents of each sentence. Experiment results on the cross-sentence relation extraction dataset, PubMed, and the document-level relation extraction dataset, DocRED, show that the proposed model outperforms state-of-the-art methods of extracting relations across sentences. Furthermore, ablation study proves that both the two main sub-models have noticeable effect on the relation extraction task.

Original languageEnglish
Title of host publicationCIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages705-714
Number of pages10
ISBN (Electronic)9781450368599
DOIs
Publication statusPublished - 2020 Oct 19
Event29th ACM International Conference on Information and Knowledge Management, CIKM 2020 - Virtual, Online, Ireland
Duration: 2020 Oct 192020 Oct 23

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference29th ACM International Conference on Information and Knowledge Management, CIKM 2020
Country/TerritoryIreland
CityVirtual, Online
Period20/10/1920/10/23

Bibliographical note

Funding Information:
This work was supported by NCSOFT NLP Center. Kyong-Ho Lee is the corresponding author.

Publisher Copyright:
© 2020 ACM.

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

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