PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The PASCAL Recognising Textual Entailment Challenge
Ido Dagan, Oren Glickman and Bernardo Magnini
In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment First Pascal Machine Learning Challenges Workshop Lecture Notes in Computer Science , 3944 (XIII). (2006) Springer , pp. 177-190. ISBN 3-540-33427-0

Abstract

This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark1. The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This application-independent task is suggested as capturing major inferences about the variability of semantic expression which are commonly needed across multiple applications. The Challenge has raised noticeable attention in the research community, attracting 17 submissions from diverse groups, suggesting the generic relevance of the task.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:2865
Deposited By:Oren Glickman
Deposited On:22 November 2006