17 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 3 cited
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Mario Sänger, Ulf Leser
Automatic relationship extraction (RE) from biomedical literature is critical for managing the vast amount of scientific knowledge produced each year. In recent years, utilizing pr…
cs.IR2025
Enhancing Document Retrieval for Curating N-ary Relations in Knowledge Bases
Xing David Wang, Ulf Leser
Curation of biomedical knowledge bases (KBs) relies on extracting accurate multi-entity relational facts from the literature - a process that remains largely manual and expert-driv…
cs.CL2024★ 17 cited
HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools
Mario Sänger, Samuele Garda, Xing David Wang +5
With the exponential growth of the life science literature, biomedical text mining (BTM) has become an essential technology for accelerating the extraction of insights from publica…