Shallow semantics in fast textual entailment rule learners
Fabio Massimo Zanzotto, Marco Pennacchiotti, Alessandro Moschitti · 2007
In this paper, we briefly describe two enhancements of the cross-pair similarity model for learning textual entailment rules: 1) the typed anchors and 2) a faster computation of the similarity. We will report and comment on the preliminary experiments and on the submission results.