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Zepeng Ding

2 accepted papers

2025

Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy

COLING 2025main

Many previous models of named entity recognition (NER) suffer from the problem of Out-of-Entity (OOE), i.e., the tokens in the entity mentions of the test samples have not appeared in the training samples, which hinders the achievement of satisfactory performance. To improve OOE-NER performance, in…

Cited by 2SourcePDFScholar
2024

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction

COLING 2024main

Relation triple extraction, which outputs a set of triples from long sentences, plays a vital role in knowledge acquisition. Large language models can accurately extract triples from simple sentences through few-shot learning or fine-tuning when given appropriate instructions. However, they often mi…