Ziqin Luo — accepted AI-conference papers

2025

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

Guochao Jiang, Ziqin Luo, Chengwei Hu, Zepeng Ding, Deqing Yang

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 2 Source ↗PDF ↗Scholar ↗

2024

ToNER: Type-oriented Named Entity Recognition with Generative Language Model

Guochao Jiang, Ziqin Luo, Yuchen Shi, Dixuan Wang, Jiaqing Liang, Deqing Yang

COLING 2024main

In recent years, the fine-tuned generative models have been proven more powerful than the previous tagging-based or span-based models on named entity recognition (NER) task. It has also been found that the information related to entities, such as entity types, can prompt a model to achieve NER bette…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗