Papers by K Bao
General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction (2024.findings-emnlp)
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| Challenge: | Existing unified information extraction approaches face challenges such as noise interference, abstract label semantics, and diverse span granularity. |
| Approach: | They propose a general Collaborative Information Extraction framework to address these challenges in universal information extraction tasks. |
| Outcome: | The proposed framework is based on a general Recognizer and task-specific Experts for recognizing predefined types and extracting spans respectively. |