Abstract
We describe Semantic Equivalence and Textual Entailment Recognition, and outline a system which uses a number of lexical, syntactic and semantic features to classify pairs of sentences as “semantically equivalent”. We describe an experiment to show how syntactic and semantic features improve the performance of an earlier system, which used only lexical features. We also outline some areas for future work.
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Newman, E., Carthy, J., Dunnion, J. et al. Identifying semantic equivalence for multi-document summarisation. Artif Intell Rev 25, 55–65 (2006). https://doi.org/10.1007/s10462-007-9018-5
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DOI: https://doi.org/10.1007/s10462-007-9018-5