Analysis of Semantic Classes in Medical Text for Question Answering

Abstract

To answer questions from clinical-evidence texts, we identify occurrences of the semantic classes --- disease, medication, patient outcome --- that are candidate elements of the answer, and the relations among them. Additionally, we determine whether an outcome is positive or negative.