Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

    EMNLP, pp. 4231-4242, 2018.

    Cited by: 57|Bibtex|Views71|Links
    EI

    Abstract:

    Open Domain Question Answering (QA) is evolving from complex pipelined systems to end-to-end deep neural networks. Specialized neural models have been developed for extracting answers from either text alone or Knowledge Bases (KBs) alone. In this paper we look at a more practical setting, namely QA over the combination of a KB and entity-...More

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