Abstract
This work proposes a model for recognition of textual entailment by presenting a new approach through the combined use of syntactic analysis, morphology, linguistic rules, detection of the bending voice, treatment of denial and the use of synonyms. A prototype was developed to evaluate the model proposed. The results, which are promising, allow the identification of textual linking of different textual samples accurately and with flexibility.
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CITATION STYLE
Flores, E. M., & Rigo, S. J. (2016). A model for textual entailment based on linguistic rules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9727, pp. 251–255). Springer Verlag. https://doi.org/10.1007/978-3-319-41552-9_26
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