EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction

Anonymous

Paper Link: https://openreview.net/forum?id=2csU2MGpRbN

Paper Type: Short paper (up to four pages of content + unlimited references and appendices)

Abstract:

Multi-triple extraction is a challenging task due to the existence of informative inter-triple correlations, and consequently rich interactions across the constituent entities and relations.
While existing works only explore entity representations, we propose to explicitly introduce \textit{relation} representation, jointly represent it with entities, and novelly align them to identify valid triples.
We perform comprehensive experiments on document-level relation extraction and joint entity and relation extraction along with ablations to demonstrate the advantage of the proposed method.

Presentation Mode: This paper will be presented virtually

Virtual Presentation Timezone: UTC+8

Copyright Consent Signature (type Name Or NA If Not Transferrable): Benfeng Xu

Copyright Consent Name And Address: Benfeng Xu, University of Science and Technology of China, Hefei, China