Exploring Markov Logic Networks for Question Answering

@inproceedings{Khot2015ExploringML,
  title={Exploring Markov Logic Networks for Question Answering},
  author={Tushar Khot and Niranjan Balasubramanian and Eric Gribkoff and Ashish Sabharwal and Peter Clark and Oren Etzioni},
  booktitle={EMNLP},
  year={2015}
}
Elementary-level science exams pose significant knowledge acquisition and reasoning challenges for automatic question answering. We develop a system that reasons with knowledge derived from textbooks, represented in a subset of firstorder logic. Automatic extraction, while scalable, often results in knowledge that is incomplete and noisy, motivating use of reasoning mechanisms that handle uncertainty. Markov Logic Networks (MLNs) seem a natural model for expressing such knowledge, but the exact… CONTINUE READING

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Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

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