38 citations · 45 across the 5 of their papers we have counts for
4 papers · 1 filter
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
Mingchen Li, Rui Zhang
Recent advancements in language models (LMs) have led to the emergence of powerful models such as Small LMs (e.g., T5) and Large LMs (e.g., GPT-4). These models have demonstrated e…
NameRec*: Highly Accurate and Fine-grained Person Name Recognition
Rui Zhang, Yimeng Dai, Shijie Liu
In this paper, we introduce the NameRec* task, which aims to do highly accurate and fine-grained person name recognition. Traditional Named Entity Recognition models have good perf…
Prototypical Representation Learning for Relation Extraction
Ning Ding, Xiaobin Wang, Yao Fu +7
Recognizing relations between entities is a pivotal task of relational learning. Learning relation representations from distantly-labeled datasets is difficult because of the abund…
Entity Extraction with Knowledge from Web Scale Corpora
Zeyi Wen, Zeyu Huang, Rui Zhang
Entity extraction is an important task in text mining and natural language processing. A popular method for entity extraction is by comparing substrings from free text against a di…