Recognizing Textual Entailment

Ido Dagan is an Associate Professor in the Department of Computer Science at Bar-Ilan University, Israel. His interests are in applied semantic processing, focusing on the development of generic textual inference models, knowledge acquisition methods, and novel application schemes that are based on them. Dagan and colleagues defined the textual entailment recognition task and organized the series of Recognizing Textual Entailment Challenges. He was the President of the Association for Computational Linguistics (ACL) in 2010 and served on its Executive Committee during 2008-2011. In that capacity, he led the establishment of the Transactions of the Association for Computational Linguistics journal. Dagan received his B.A. summa cum laude and his Ph.D. (1992) in Computer Science from the Technion. He was a research fellow at the IBM Haifa Scientific Center (1991) and a Member of Technical Staff at AT&T Bell Laboratories (1992-1994). During 1998-2003 he was co-founder and CTO of FocusEngine and VP of Technology of LingoMotors.

• List of Figures.- List of Tables.- Preface.- Acknowledgments.- Textual Entailment.- Architectures and Approaches.- Alignment, Classification, and Learning.- Case Studies.- Knowledge Acquisition for Textual Entailment.- Research Directions in RTE.- Bibliography.- Authors' Biographies.