Transducens group system for cross-lingual entailment, the second best performing in SemEval 2012

The system presented by the researchers of Transducens group Miquel Esplà-Gomis, Felipe Sánchez-Martínez, and Mikel L. Forcada, was the second best system in the cross-lingual textual entailiment (CLTE) for English-Spanish task according to the ranking published for the task 8 of SemEval 2012. CLTE is a natural language processing open problem which consists of detecting semantic entailment relations between texts written in different languages. The system presented by the Transducens’ researches uses a multiclass classifier informed by features obtained from machine translation.