13 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Modular Self-Supervision for Document-Level Relation Extraction
Sheng Zhang, Cliff Wong, Naoto Usuyama +3
Extracting relations across large text spans has been relatively underexplored in NLP, but it is particularly important for high-value domains such as biomedicine, where obtaining…
cs.IR2021★ 12 cited
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann +12
Information overload is a prevalent challenge in many high-value domains. A prominent case in point is the explosion of the biomedical literature on COVID-19, which swelled to hund…
cs.CL2019★ 13 cited
Document-Level -ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, Hoifung Poon
Most information extraction methods focus on binary relations expressed within single sentences. In high-value domains, however, -ary relations are of great demand (e.g., drug-g…