Paper: Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features

ACL ID S13-2024
Title Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes The University of Mel- bourne NLP group submission to the Cross- lingual Textual Entailment shared task, our first tentative attempt at the task. The ap- proach involves using parallel corpora and au- tomatic word alignment to align text fragment pairs, and statistics based on unaligned words as features to classify items as forward and backward before a compositional combination into the final four classes, as well as exper- iments with additional string similarity fea- tures.