HDU: Cross-lingual Textual Entailment with SMT Features
Katharina Wäschle, Sascha Fendrich · 2012
We describe the Heidelberg University system for the Cross-lingual Textual Entailment task at SemEval-2012. The system relies on features extracted with statistical machine translation methods and tools, combining monolingual and cross-lingual word alignments as well as standard textual entailment distance and bag-of-words features in a statistical learning framework. We learn separate binary classifiers for each entailment direction and combine them to obtain four entailment relations. Our system yielded the best overall score for three out of four language pairs.