Approximating Textual Entailment with LFG and FrameNet Frames

Aljoscha Burchardt, Anette Frank

In: Proceedings of the second PASCAL Recognizing Textual Entailment Workshop. PASCAL Recognizing Textual Entailment Workshop Venice Italy Pages 92-97 2006.


We present a baseline system for modeling textual entailment that combines deep syntactic analysis with structured lexical meaning descriptions in the FrameNet paradigm. Textual entailment is approximated by degrees of structural and semantic overlap of text and hypothesis, which we measure in a match graph. The encoded measures of similarity are processed in a machine learning setting. (ps, 545 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz