12. The textual entailment recognition method according to claim 9 , wherein, in the step (b), a similarity between the vector generated for each predicate-argument structure for the first text and the vector generated for each predicate-argument structure for the second text is calculated, and combinations of the predicate-argument structures of the first text and the predicate-argument structure of second text based on the calculated similarities is identified.
12. The textual entailment recognition method according to claim 9 , wherein, in the step (b), a similarity between the vector generated for each predicate-argument structure for the first text and the vector generated for each predicate-argument structure for the second text is calculated, and combinations of the predicate-argument structures of the first text and the predicate-argument structure of second text based on the calculated similarities is identified. 13. The textual entailment recognition method according to claim 12 , wherein, in the step (b), normalization processing is performed during calculation of the similarity, in accordance with an amount of information of the vector.