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The goal of identifying textual entailment -whether one piece of text can be plausibly inferred from another -has emerged in recent years as a generic core problem in natural language understanding. Work in this area has been largely driven by the PASCAL Recognizing Textual Entailment (RTE) challenges, which are a series of annual competitive meetings. The current work exhibits strong ties to some earlier lines of research, particularly automatic acquisition of paraphrases and lexical semanticdoi:10.1017/s1351324909990209 fatcat:t7rpxvcw2jfpbbxzrejk6expuu