Paper: Illinois-LH: A Denotational and Distributional Approach to Semantics

ACL ID S14-2055
Title Illinois-LH: A Denotational and Distributional Approach to Semantics
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes and analyzes our Se- mEval 2014 Task 1 system. Its features are based on distributional and denota- tional similarities; word alignment; nega- tion; and hypernym/hyponym, synonym, and antonym relations. 1 Task Description SemEval 2014 Task 1 (Marelli et al., 2014a) eval- uates system predictions of semantic relatedness (SR) and textual entailment (TE) relations on sen- tence pairs from the SICK dataset (Marelli et al., 2014b). The dataset is intended to test compo- sitional knowledge without requiring the world knowledge that is often required for paraphrase classification or Recognizing Textual Entailment tasks. SR scores range from 1 to 5. TE relations are ?entailment,? ?contradiction,? and ?neutral.? Our system uses features that depend on the amount of word overlap...