Paper: Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents

ACL ID P12-2024
Title Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

We address a core aspect of the multilingual content synchronization task: the identifica- tion of novel, more informative or semanti- cally equivalent pieces of information in two documents about the same topic. This can be seen as an application-oriented variant of tex- tual entailment recognition where: i) T and H are in different languages, and ii) entail- ment relations between T and H have to be checked in both directions. Using a combi- nation of lexical, syntactic, and semantic fea- tures to train a cross-lingual textual entailment system, we report promising results on differ- ent datasets.