Word association norms, mutual information, and lexicography
Computational Linguistics
Information-Based Selection of Abstraction Levels
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Improving the Performance of Automated Theorem Provers by Redundancy-Free Lemmatization
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
The TPTP Problem Library and Associated Infrastructure
Journal of Automated Reasoning
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In this paper, we report results of an experiment to use the mutual information criterion to automatically select formulas to guide the search for proofs using McCune's Prover9 system. The formulas were selected from the TPTP library of problems for theorem-provers.