This paper describes our experiments on Textual Entailment in the context of the Third Pascal Recognising Textual Entailment (RTE-3) Evaluation Challenge. Our system uses a Machine Learning approach with Support Vector Machines and AdaBoost to deal with the RTE challenge. We perform a lexical, syntactic, and semantic analysis of the entailment pairs . From this information we compute a set of semanticbased distances between sentences. The results look promising specially for the QA entailment task.
The system REF used a Machine Learning approach with Support Vector Machines and AdaBoost to deal with the RTE challenge.
Machine Learning with Semantic-Based Distances Between Sentences for Textual Entailment
ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Computer Science