Text Grouping using Textual Entailment?

Textual Entailment is an important field in Natural Language Processing domain. Given two texts called T (Text) and H (Hypothesis), the textual entailment recognition is the task of deciding whether the meaning of H can be logically inferred from that of T. A Textual Entailment (TE) system has developed and this system has tested on various entailment standard datasets. This TE will apply to different texts then the TE system will group them into different single group. A corpus has created for this experiment that has total 10 groups which contains 3540 sentences. F-score of the textual entailment system is 61% and will detect 8 groups correctly from 10 groups.