PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction-Reference-Cited by-同舟云学术

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PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Zhang Hanyue¹,Li Li¹,Shen Jun²

Affiliation:

1. Southwest University,Chongqing,China

2. University of Wollongong,New South Wales,Australia

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191693.pdf?arnumber=10191693

Reference40 articles.

1. The automatic content extraction (ACE) program - tasks, data, and evaluation;doddington;LREC,2004

2. Semi-supervised learning with deep generative models;kingma;Advances in Neural Information Processing Systems 27 Annual Conference on Neural Information Processing Systems 2014,2014

3. A Partition Filter Network for Joint Entity and Relation Extraction

4. Auto-encoding variational bayes;kingma;ICLR 2014,2014

5. Span-based joint entity and relation extraction with transformer pre-training;eberts;ECAI,2020

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