3 citations · 7 across the 4 of their papers we have counts for
4 papers
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition
Jian Zhang, Tianqing Zhang, Qi Li +1
In recent years, research has mainly focused on the general NER task. There still have some challenges with nested NER task in the specific domains. Specifically, the scenarios of…
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
Tingyu Xie, Jian Zhang, Yan Zhang +3
The strong capability of large language models (LLMs) has been applied to information extraction (IE) through either retrieval augmented prompting or instruction tuning (IT). Howev…
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
Tingyu Xie, Qi Li, Yan Zhang +2
Exploring the application of powerful large language models (LLMs) on the named entity recognition (NER) task has drawn much attention recently. This work pushes the performance bo…
Empirical Study of Zero-Shot NER with ChatGPT
Tingyu Xie, Qi Li, Jian Zhang +3
Large language models (LLMs) exhibited powerful capability in various natural language processing tasks. This work focuses on exploring LLM performance on zero-shot information ext…