We describe our submission to the PASCAL Recognizing Textual Entailment Challenge, which attempts to isolate the set of Text-Hypothesis pairs whose categorization can be accurately predicted based solely on syntactic cues. Two human annotators examined each pair, showing that a surprisingly large proportion of the data - 34% of the test items - can be handled with syntax alone, while adding information from a general-purpose thesaurus increases this to 48%. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Vanderwende, L., & Dolan, W. B. (2006). What syntax can contribute in the entailment task. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3944 LNAI, pp. 205–216). https://doi.org/10.1007/11736790_11
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