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Neural Question Answering at BioASQ 5B
[article]
2017
arXiv
pre-print
This paper describes our submission to the 2017 BioASQ challenge. We participated in Task B, Phase B which is concerned with biomedical question answering (QA). We focus on factoid and list question, using an extractive QA model, that is, we restrict our system to output substrings of the provided text snippets. At the core of our system, we use FastQA, a state-of-the-art neural QA system. We extended it with biomedical word embeddings and changed its answer layer to be able to answer list
arXiv:1706.08568v1
fatcat:unzporpn6zg7nn46ig3e2t572e