Quasar: Datasets for Question Answering by Search and Reading

    arXiv: Computation and Language, Volume abs/1707.03904, 2017.

    Cited by: 17|Bibtex|Views28|Links
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    Abstract:

    We present two new large-scale datasets aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text. The Quasar-S dataset consists of 37000 cloze-style (fill-in-the-gap) queries constructed from definitions of software entity tags on the popular website Stack Overflow. The...More

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