732 citations · 740 across the 2 of their papers we have counts for
4 papers · 1 filter
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John R. Murphy, Willie Boag +4
Contextual word embedding models such as ELMo (Peters et al., 2018) and BERT (Devlin et al., 2018) have dramatically improved performance for many natural language processing (NLP)…
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
Willie Boag, Tristan Naumann, Peter Szolovits
Clinical notes often describe the most important aspects of a patient's physiology and are therefore critical to medical research. However, these notes are typically inaccessible t…
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha +3
Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research. Clinical concept extraction (CCE) of named entities - such as pr…
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus
Willie Boag, Hassan Kané
In recent years, word embeddings have been surprisingly effective at capturing intuitive characteristics of the words they represent. These vectors achieve the best results when tr…