Papers by Xinyi Lai

1 papers
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition (2023.findings-emnlp)

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Challenge: Named Entity Recognition (NER) tasks are a fundamental task of natural language processing (NLP).
Approach: They propose a text-to-text framework for Few-Shot Named Entity Recognition (NER) that employs instruction finetuning and auxiliary tasks to enhance the model's understanding of entity types in the overall semantic context of a sentence.
Outcome: The proposed framework outperforms existing Few-Shot NER methods and remains competitive with state-of-the-art NER algorithms.

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