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MICAI
2010
Springer

Recognizing Textual Entailment Using a Machine Learning Approach

3 years 9 months ago
Recognizing Textual Entailment Using a Machine Learning Approach
We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pairs we use a symmetric similarity measure and a non-symmetric similarity measure. Our system achieved an accuracy of 66% on the RTE-3 development dataset (with 10-fold cross validation) and accuracy of 63% on the RTE-3 test dataset. Keywords. Recognizing Textual Entailment, text similarity measures, nonsymmetric measures.
Miguel Angel Ríos Gaona, Alexander F. Gelbu
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where MICAI
Authors Miguel Angel Ríos Gaona, Alexander F. Gelbukh, Sivaji Bandyopadhyay
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