Recognizing Textual Entailment: Models and Applications (Synthesis Lectures on Human Language Technologies, 23)
by Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto
Recognizing Textual Entailment presents models and applications for analyzing relationships between pieces of text. As part of the Synthesis Lectures on Human Language Technologies series, it provides a focused treatment of an important subject in computational linguistics, natural language processing, and artificial intelligence.
About This Book
Recognizing Textual Entailment explores the task of determining whether one text supports, contradicts, or relates to another.
The book focuses on models developed for textual entailment and their role in human language technologies.
It also considers applications of entailment methods, providing a focused resource for readers interested in computational linguistics and language processing.
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