Paper: The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity

ACL ID S14-2114
Title The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

Shared Task 1 of SemEval-2014 com- prised two subtasks on the same dataset of sentence pairs: recognizing textual en- tailment and determining textual similar- ity. We used an existing system based on formal semantics and logical inference to participate in the first subtask, reaching an accuracy of 82%, ranking in the top 5 of more than twenty participating sys- tems. For determining semantic similar- ity we took a supervised approach using a variety of features, the majority of which was produced by our system for recogniz- ing textual entailment. In this subtask our system achieved a mean squared error of 0.322, the best of all participating systems.