17 citations · 31 across the 5 of their papers we have counts for
6 papers
BELXTR: Biomedical Entity Linking via Contextualized Token Retrieval
Samuele Garda, Ulf Leser
Biomedical Entity Linking disambiguates mentions to entities in a knowledge base (KB), making it the cornerstone of information extraction pipelines. While embedding-based models a…
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…
BELHD: Improving Biomedical Entity Linking with Homonoym Disambiguation
Samuele Garda, Ulf Leser
Biomedical entity linking (BEL) is the task of grounding entity mentions to a knowledge base (KB). A popular approach to the task are name-based methods, i.e. those identifying the…
BELB: a Biomedical Entity Linking Benchmark
Samuele Garda, Leon Weber-Genzel, Robert Martin +1
Biomedical entity linking (BEL) is the task of grounding entity mentions to a knowledge base. It plays a vital role in information extraction pipelines for the life sciences litera…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing
Jason Alan Fries, Leon Weber, Natasha Seelam +40
Training and evaluating language models increasingly requires the construction of meta-datasets --diverse collections of curated data with clear provenance. Natural language prompt…