Abstract
In this paper we present a classifier for Recognising Textual Entailment (RTE) and Semantic Equivalence. We evaluate the performance of this classifier using an evaluation framework provided by the PASCAL RTE Challenge Workshop. Sentence-pairs are represented as a set of features, which are used by our decision tree classifier to determine if an entailment relationship exisits between each sentence-pair in the RTE test corpus. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Newman, E., Stokes, N., Dunnion, J., & Carthy, J. (2006). Textual entailment recognition using a linguistically-motivated decision tree classifier. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3944 LNAI, pp. 372–384). https://doi.org/10.1007/11736790_21
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