Corpus ID: 17047726

Markov Logic Networks for Natural Language Question Answering

@article{Khot2015MarkovLN,
  title={Markov Logic Networks for Natural Language Question Answering},
  author={Tushar Khot and Niranjan Balasubramanian and Eric Gribkoff and A. Sabharwal and P. Clark and Oren Etzioni},
  journal={ArXiv},
  year={2015},
  volume={abs/1507.03045}
}
  • Tushar Khot, Niranjan Balasubramanian, +3 authors Oren Etzioni
  • Published 2015
  • Computer Science
  • ArXiv
  • Our goal is to answer elementary-level science questions using knowledge extracted automatically from science textbooks, expressed in a subset of first-order logic. Given the incomplete and noisy nature of these automatically extracted rules, Markov Logic Networks (MLNs) seem a natural model to use, but the exact way of leveraging MLNs is by no means obvious. We investigate three ways of applying MLNs to our task. In the first, we simply use the extracted science rules directly as MLN clauses… CONTINUE READING
    18 Citations

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