Chapter 6. Recognizing Textual Entailment
Mark Sammons, V.G.Vinod Vydiswaran, and Dan Roth
6.1. Introduction
Since 2005, researchers have worked on a broad task called recognizing textual entailment (RTE), which is designed to focus efforts on general textual inference capabilities but without constraining participants to use a specific representation or reasoning approach. There have been promising developments in this subfield of natural language processing (NLP), with systems showing steady improvement and investigations of a range of approaches to the problem. A number of researchers appear to have converged on some defining characteristics of the problem and on characteristics of practical approaches to solving it. RTE solutions have been ...
Get Multilingual Natural Language Processing Applications: From Theory to Practice now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.