29 citations · 29 across the 2 of their papers we have counts for
4 papers
MeSHup: A Corpus for Full Text Biomedical Document Indexing
Xindi Wang, Robert E. Mercer, Frank Rudzicz
Medical Subject Heading (MeSH) indexing refers to the problem of assigning a given biomedical document with the most relevant labels from an extremely large set of MeSH terms. Curr…
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling
Xindi Wang, Robert E. Mercer, Frank Rudzicz
Currently, Medical Subject Headings (MeSH) are manually assigned to every biomedical article published and subsequently recorded in the PubMed database to facilitate retrieving rel…
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
John Chen, Ian Berlot-Attwell, Safwan Hossain +2
Clinical machine learning is increasingly multimodal, collected in both structured tabular formats and unstructured forms such as freetext. We propose a novel task of exploring fai…
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models
John Giorgi, Xindi Wang, Nicola Sahar +3
Named entity recognition (NER) and relation extraction (RE) are two important tasks in information extraction and retrieval (IE \& IR). Recent work has demonstrated that it is bene…