2 citations · 2 across the 4 of their papers we have counts for
4 papers
Harnessing Large Language Models for Biomedical Named Entity Recognition
Jian Chen, Leilei Su, Cong Sun
Background and Objective: Biomedical Named Entity Recognition (BioNER) is a foundational task in medical informatics, crucial for downstream applications like drug discovery and cl…
RanAT4BIE: Random Adversarial Training for Biomedical Information Extraction
Jian Chen, Shengyi Lv, Leilei Su
We introduce random adversarial training (RAT), a novel framework successfully applied to biomedical information extraction (BioIE) tasks. Building on PubMedBERT as the foundationa…
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension
Leilei Su, Jian Chen, Yifan Peng +1
Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot…
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
Cong Sun, Zhihao Yang, Leilei Su +4
Motivation: The biomedical literature contains a wealth of chemical-protein interactions (CPIs). Automatically extracting CPIs described in biomedical literature is essential for d…