Joint Entity and Relation Extraction With Set Prediction Networks

Joint entity and relation extraction is an important task in natural language processing, which aims to extract all relational triples mentioned in a given sentence. In essence, the relational triples mentioned in a sentence are in the form of a set, which has no intrinsic order between elements and...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2024-09, Vol.35 (9), p.12784-12795
Main Authors: Sui, Dianbo, Zeng, Xiangrong, Chen, Yubo, Liu, Kang, Zhao, Jun
Format: Article
Language:English
Subjects:
Bipartite matching
Decoding
Feature extraction
joint entity and relation extraction
non-autoregressive decoder
Pipelines
Predictive models
set prediction
Task analysis
Training
Transformers
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