Recognizing Textual Entailment: Models and Applications
by Ido Dagan, Dan Roth, Mark Sammons, and Fabio Massimo Zanzotto
Synthesis Lectures on Human Language Technologies #23 (Morgan & Claypool Publishers), 2013, 220 pages
In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text. This simple abstraction of an exceedingly complex problem has broad appeal partly because it can be conceived also as a component in other NLP applications, from Machine Translation to Semantic Search to Information Extraction. It also avoids commitment to any specific meaning representation and reasoning framework, broadening its appeal within the research community. This level of abstraction also facilitates evaluation, a crucial component of any technological advancement program.
This book explains the RTE task formulation adopted by the NLP research community, and gives a clear overview of research in this area. It draws out commonalities in this research, detailing the intuitions behind dominant approaches and their theoretical underpinnings.
This book has been written with a wide audience in mind, but is intended to inform all readers about the state of the art in this fascinating field, to give a clear understanding of the principles underlying RTE research to date, and to highlight the short- and long-term research goals that will advance this technology.
Table of Contents: 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
This title is available online without charge to members of institutions that have licensed the Synthesis Digital Library of Engineering and Computer Science. Members of licensing institutions have unlimited access to download, save, and print the PDF without restriction; use of the book as a course text is encouraged. To find out whether your institution is a subscriber, visit <http://www.morganclaypool.com/page/licensed>, or just click on the book's URL above from an institutional IP address and attempt to download the PDF. Others may purchase the book from this URL as a PDF download for US$30 or in print for US$40. Printed copies are also available from Amazon and from booksellers worldwide at approximately US$40 or local currency equivalent.