Papers with joint extraction methods
BiSPN: Generating Entity Set and Relation Set Coherently in One Pass (2023.findings-emnlp)
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| Challenge: | Existing approaches to extract entities and relation triples from text are limited. |
| Approach: | They propose a bipartite set prediction network to generate entity set and relation set in parallel. |
| Outcome: | The proposed model can generate entity set and relation set in parallel, while maintaining coherence between the predicted entities and relation sets. |
CARE: Co-Attention Network for Joint Entity and Relation Extraction (2024.lrec-main)
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| Challenge: | Existing joint entity and relation extraction methods suffer from feature confusion or inadequate interaction between the two subtasks. |
| Approach: | They propose a Co-Attention network for joint entity and relation extraction that adopts a parallel encoding strategy to learn separate representations for each subtask. |
| Outcome: | The proposed model outperforms existing models on three datasets . it uses a parallel encoding strategy to learn separate representations for each subtask . |