A simple hybrid approach to recognizing textual entailment

作者：Basak Rohini; Naskar Sudip Kumar; Gelbukh Alexander^*

来源：Journal of Intelligent and Fuzzy Systems, 2018, 34(5): 2873-2885.

DOI：10.3233/JIFS-169474

• Textual entailment
• dependency parsing
• semantic similarity
• supervised machine learning
• RTE datasets

We explore various machine learning-based classifiers applied to rule-based features for recognizing textual entailment. The features, extracted with a set of synthesized matching rules, reflect syntactic and semantic similarity between the text and the hypothesis. The fact that we use only seven relatively simple features makes our method suitable for low-resource languages. We test our method on the test sets of the RTE competitions and achieve accuracy of up to 69.13%.

• 出版日期2018