2007 RecogTextEntUsingASubseqKernel
Jump to navigation
Jump to search
- (Wang & Neumann, 2007) ⇒ Rui Wang, Günter Neumann. (2007). “Recognizing Textual Entailment Using a Subsequence Kernel Method.” In: Proceedings of AAAI (AAAI 2007).
Subject Headings: Textual Entailment
Notes
Cited By
Quotes
Abstract
We present a novel approach to RTE that exploits a structure-oriented sentence representation followed by a similarity function. The structural features are automatically acquired from tree skeletons that are extracted and generalized from dependency trees. Our method makes use of a limited size of training data without any external knowledge bases (e.g. WordNet) or handcrafted inference rules. We have achieved an accuracy of 71.1% on the RTE-3 development set performing a 10-fold cross validation and 66.9% on the RTE-3 test data.
References
,
Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2007 RecogTextEntUsingASubseqKernel | Rui Wang Günter Neumann | http://www.aclweb.org/anthology-new/W/W07/W07-1406.pdf Recognizing Textual Entailment Using a Subsequence Kernel Method |