The Clinical Applications of NLP: Workshop at EMNLP 2020

This paper focuses on text summarization in the context of medical dialogue. The idea is that when a patient has a conversation with a doctor, you want to be able to automatically summarize what transpired in the conversation. Doctor: "What have you been experiencing today?" Doctor: "How severe is the pain on a scale from 1 to 10" Then you want to be able to produce a transcript-like record of what happened during the visit. In this paper, the authors propose a model that can summarize these dialogues by filling in words using local structures.