Corpus ID: 14585127

Efficient Markov Logic Inference for Natural Language Semantics

@inproceedings{Beltagy2014EfficientML,
  title={Efficient Markov Logic Inference for Natural Language Semantics},
  author={Iz Beltagy and R. Mooney},
  booktitle={AAAI Workshop: Statistical Relational Artificial Intelligence},
  year={2014}
}
  • Iz Beltagy, R. Mooney
  • Published in
    AAAI Workshop: Statistical…
    2014
  • Computer Science
  • Using Markov logic to integrate logical and distributional information in natural-language semantics results in complex inference problems involving long, complicated formulae. Current inference methods for Markov logic are ineffective on such problems. To address this problem, we propose a new inference algorithm based on SampleSearch that computes probabilities of complete formulae rather than ground atoms. We also introduce a modified closed-world assumption that significantly reduces the… CONTINUE READING
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