Document-level relation extraction via separate relation representation and logical reasoning

Document-level relation extraction via separate relation representation and logical reasoning

Document-level relation extraction (RE) extends the identification of entity/mentions’ relation from the single sentence to the long document. It is more realistic and poses new challenges to relation representation and reasoning skills. In this article, we propose a novel model, SRLR, using Separat...

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Bibliographic Details
Main Authors: HUANG, Heyan, YUAN, Changsen, LIU, Qian, CAO, Yixin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
document-level relation extraction
separate relation representation
logical reasoning
relational reasoning
computing methodologies
information extraction
atural language processing
mention-level
Artificial Intelligence and Robotics
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/8255
https://ink.library.smu.edu.sg/context/sis_research/article/9258/viewcontent/Document_level_Relation_Ext_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8255
https://ink.library.smu.edu.sg/context/sis_research/article/9258/viewcontent/Document_level_Relation_Ext_av.pdf

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