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Papers
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
EMNLP 2024
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
EMNLP 2024
Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
COLING 2024
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
COLING 2024
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
COLING 2024