Document-level relation extraction with entity mentions deep attention-Reference-Cited by-同舟云学术

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Document-level relation extraction with entity mentions deep attention

Published:2024-03 Issue: Volume:84 Page:101574
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Xu Yangsheng,Tian Jiaxin,Tang Mingwei,Tao Linping,Wang Liuxuan

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference55 articles.

1. Matching the blanks: distributional similarity for relation learning;Baldini Soares,2019

2. SciBERT: a pretrained language model for scientific text;Beltagy,2019

3. Bidirectional recurrent convolutional neural network for relation classification;Cai,2016

4. On the form of parsed sentences for relation extraction;Chen;Knowl.-Based Syst.,2022

5. HacRED: a large-scale relation extraction dataset toward hard cases in practical applications;Cheng,2021

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1. Aspect-Level sentiment analysis based on fusion graph double convolutional neural networks;International Journal of Parallel, Emergent and Distributed Systems;2024-03-05

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