Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies) Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:

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

Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies) by Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto

From reader reviews:

Roger Dupre:

Inside other case, little persons like to read book Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies). You can choose the best book if you'd prefer reading a book. Provided that we know about how is important a book Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies). You can add knowledge and of course you can around the world with a book. Absolutely right, due to the fact from book you can understand everything! From your country until foreign or abroad you may be known. About simple factor until wonderful thing it is possible to know that. In this era, you can open a book as well as searching by internet device. It is called e-book. You may use it when you feel bored stiff to go to the library. Let's study.

Damian Woodward:

Information is provisions for individuals to get better life, information presently can get by anyone at everywhere. The information can be a expertise or any news even a concern. What people must be consider any time those information which is inside the former life are challenging be find than now's taking seriously which one would work to believe or which one often the resource are convinced. If you have the unstable resource then you obtain it as your main information we will see huge disadvantage for you. All of those possibilities will not happen with you if you take Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies) as the daily resource information.

Barbara Kyle:

As we know that book is vital thing to add our information for everything. By a guide we can know everything we would like. A book is a group of written, printed, illustrated or even blank sheet. Every year had been exactly added. This book Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies) was filled in relation to science. Spend your free time to add your knowledge about your research competence. Some people has different feel when they reading a book. If you know how big selling point of a book, you can feel enjoy to read a reserve. In the modern era like currently, many ways to get book that you wanted.

Naomi Dillon:

A lot of e-book has printed but it differs. You can get it by net on social media. You can choose the top book for you, science, amusing, novel, or whatever simply by searching from it. It is identified as of book Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies). You can add your knowledge by it. Without causing the printed book, it can add your knowledge and make a person happier to read. It is most essential that, you must aware about book. It can bring you from one place to other place.