Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?

RANLP 2019 Le An HaVictoria Yaneva

We present a novel approach to automatic question answering that does not depend on the performance of an information retrieval (IR) system and does not require that the training data come from the same source as the questions. We evaluate the system performance on a challenging set of university-level medical science multiple-choice questions... (read more)

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