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Bootstrapping Lexical Choice via Multiple-Sequence Alignment
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A WordNet-based semantic approach to textual entailment and cross-lingual textual entailment

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Abstract  In this paper we explain how to build a recognizing textual entailment (RTE) system which only uses semantic similarity measures based on WordNet. We show how the widely used WordNet-based semantic measures can be generalized to build sentence level semantic metrics in order to be used in both mono-lingual and cross-lingual textual entailment. We experiment with a wide variety of RTE datasets and evaluate the contribution of an algorithm which expands the RTE monolingual corpus. Results achieved with this method yielded significant statistical differences when predicting RTE test sets. We provide an efficiency analysis of these metrics drawing some ...
Mentions: Cordoba RTE Julio Javier Castillo