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Training a Ranking Function for Open-Domain Question Answering
[article]
2018
arXiv
pre-print
In recent years, there have been amazing advances in deep learning methods for machine reading. In machine reading, the machine reader has to extract the answer from the given ground truth paragraph. Recently, the state-of-the-art machine reading models achieve human level performance in SQuAD which is a reading comprehension-style question answering (QA) task. The success of machine reading has inspired researchers to combine information retrieval with machine reading to tackle open-domain QA.
arXiv:1804.04264v1
fatcat:net73xus5be6hm2ukgpizrtpfu