Rule Chaining and Approximate Match in textual inference
Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Jonathan Berant, Ido Dagan · 2010
This paper describes the participation of Bar-Ilan university in the sixth RTE challenge. Our textual-entailment engine, BiuTee, was enhanced with new components that introduce chaining of lexical-entailment rules, and tackle the problem of approximately matching the text and the hypothesis after all available knowledge of entailment rules was utilized. We have also re-engineered our system aiming at an open-source open architecture. BiuTee’s performance is better than the median of all-submissions, and outperforms significantly an IR-oriented baseline. 1