Enhancing a Question Answering System with Textual Entailment for Machine Reading Evaluation

This paper describes UAIC’s Question Answering for Machine Reading Evaluation systems participating in the QA4MRE 2012 evaluation task. We submitted two types of runs, first type of runs based on our system from 2011 edition of QA4MRE, and second type of runs based on Textual Entailment system. For second types of runs, we construct the Text and the Hypothesis, asked by Textual Entailment system from initial test data (the tag was used to build the Text and the and tags were used to build the Hypothesis). The results offered by organizer showed that second type of runs were better than first type of runs for English.