Using Maximal Embedded Syntatic Subtrees for Textual Entailment Recognition

In this paper we address the textual entailment task by using tree mining and matching technique. Our results show that accuracy can be improved when using a combination of lexical entailment with syntactic matching. The best result we received by combinig two components is the following: 70% of recall and 57,5% of precision on the test set.