Using Textual Entailment with Variables for KBP Slot Filling Task

This report presents our extension of the textual entailment paradigm, in which variables are incorporated in the hypothesis, and are lled with extracted information during the entailment recognition process. This paradigm is the basis for a novel approach of using variables in textual entailment, with various potential future applications. We experimented with this approach in the TAC 2012 Knowledge Base Population challenge, participating in the Cold Start task. Our system was based on a variant of our open source system for textual entailment recognition BiuTee. Being in preliminary stages of our work, the system does not yet scale well, so no results are incorporated in this report.

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