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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Dagan, I., Glickman, O., & Magnini, B. (2006). The PASCAL Recognising Textual Entailment Challenge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3944 LNAI, pp. 177–190). https://doi.org/10.1007/11736790_9
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