The Journal of Machine Learning Research
Open-domain textual question answering techniques
Natural Language Engineering
HLT '91 Proceedings of the workshop on Speech and Natural Language
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Contrastive estimation: training log-linear models on unlabeled data
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Direct word sense matching for lexical substitution
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Paraphrasing for automatic evaluation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Context Sensitive Paraphrasing with a Global Unsupervised Classifier
ECML '07 Proceedings of the 18th European conference on Machine Learning
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Improving text categorization bootstrapping via unsupervised learning
ACM Transactions on Speech and Language Processing (TSLP)
Discriminative learning of selectional preference from unlabeled text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Text categorization from category name via lexical reference
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Extracting lexical reference rules from Wikipedia
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
A latent dirichlet allocation method for selectional preferences
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Directional distributional similarity for lexical inference
Natural Language Engineering
Topic models for meaning similarity in context
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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This paper addresses context matching in textual inference. We formulate the task under the Contextual Preferences framework which broadly captures contextual aspects of inference. We propose a generic classification-based scheme under this framework which coherently attends to context matching in inference and may be employed in any inference-based task. As a test bed for our scheme we use the Name-based Text Categorization (TC) task. We define an integration of Contextual Preferences into the TC setting and present a concrete self-supervised model which instantiates the generic scheme and is applied to address context matching in the TC task. Experiments on standard TC datasets show that our approach outperforms the state of the art in context modeling for Name-based TC.