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

View Paper

cs.utexas.edu

Save to Library

Create Alert

Cite

Launch Research Feed