UMLS

In this paper we show that information from citing papers can help perform ex- tractive summarisation of medical publica- tions, especially when the amount of text available for development is …...

This paper describes our participation in task 7 of SemEval 2014, which focuses on analysis of clinical text. The task is divided into two parts: recognizing men- tions of concepts …...

We implemented an end-to-end system for dis- order identification and slot filling. For iden- tifying spans for both disorders and their at- tributes, we used a linear chain conditional random …...

AbstractWhen making clinical decisions, practitioners need to rely on the most relevant evidence available. However, accessing a vast body of medical evidence and confronting with the issue of information overload …...

AbstractDespite the widespread success of self-supervised learning via masked language models (MLM), accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge. This is of paramount importance for …...

Medical entity retrieval is an integral compo- nent for understanding and communicating in- formation across various health systems. Cur- rent approaches tend to work well on specific medical domains but …...