EventKE: Event-Enhanced Knowledge Graph Embedding

Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji

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

Abstract

Relations in most of the traditional knowledge graphs (KGs) only reflect static and factual connections, but fail to represent the dynamic activities and state changes about entities. In this paper, we emphasize the importance of incorporating events in KG representation learning, and propose an event-enhanced KG embedding model EventKE. Specifically, given the original KG, we first incorporate event nodes by building a heterogeneous network, where entity nodes and event nodes are distributed on the two sides of the network interconnected by event argument links. We then use entity-entity relations from the original KG and event-event temporal links to innerconnect entity and event nodes respectively. We design a novel and effective attentionbased message passing method, which is conducted on entity-entity, event-entity, and eventevent relations to fuse the event information into KG embeddings. Experimental results on real-world datasets demonstrate that events can greatly improve the quality of the KG embeddings on multiple downstream tasks.

Original languageEnglish (US)
Title of host publicationFindings of the Association for Computational Linguistics, Findings of ACL
Subtitle of host publicationEMNLP 2021
EditorsMarie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-Tau Yih
PublisherAssociation for Computational Linguistics (ACL)
Pages1389-1400
Number of pages12
ISBN (Electronic)9781955917100
StatePublished - 2021
Externally publishedYes
Event2021 Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021 - Punta Cana, Dominican Republic
Duration: Nov 7 2021Nov 11 2021

Publication series

NameFindings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021

Conference

Conference2021 Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021
Country/TerritoryDominican Republic
CityPunta Cana
Period11/7/2111/11/21

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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