Normalized Alignment of Dependency Trees for Detecting Textual Entailment

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Marsi, E. and Krahmer, E. and Bosma, W.E. and Theune, M. (2006) Normalized Alignment of Dependency Trees for Detecting Textual Entailment. In: Second PASCAL Recognising Textual Entailment Challenge, 10-12 April 2006, Venice, Italy (pp. pp. 56-61).

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Abstract:In this paper, we investigate the usefulness of normalized alignment of dependency trees for entailment prediction. Overall, our approach yields an accuracy of 60% on the RTE2 test set, which is a significant improvement over the baseline. Results vary substantially across the different subsets, with a peak performance on the summarization data. We conclude that
normalized alignment is useful for detecting textual entailments, but a robust approach will probably need to include additional sources of information.
Item Type:Conference or Workshop Item
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Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/66341
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