Paper: UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic

ACL ID S14-2141
Title UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

We represent natural language semantics by combining logical and distributional in- formation in probabilistic logic. We use Markov Logic Networks (MLN) for the RTE task, and Probabilistic Soft Logic (PSL) for the STS task. The system is evaluated on the SICK dataset. Our best system achieves 73% accuracy on the RTE task, and a Pearson?s correlation of 0.71 on the STS task.