A joint entity-relation extraction model with cross-attention feature fusion is proposed and evaluated on a new Chinese drug-drug interaction dataset and on CoNLL04.
A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation.Expert Systems with Applications, 228:120435, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics
A joint entity-relation extraction model with cross-attention feature fusion is proposed and evaluated on a new Chinese drug-drug interaction dataset and on CoNLL04.