GUniER: GPT-Enhanced Joint Extraction of Entities and Relations Through Integrated Deep Bidirectional Semantics and Unified Modeling
Entity and relation extraction are key tasks in natural language processing (NLP) and knowledge graph construction. However, existing methods often overlook the complex interactions between entities and their relations. To address this problem, we propose GUniER, which uses a GPT enhancement module...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10781386/ |
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