Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
WordNet: a lexical database for English
Communications of the ACM
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
Applied morphological processing of English
Natural Language Engineering
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Discovery of event entailment knowledge from text corpora
Computer Speech and Language
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A machine learning approach to textual entailment recognition
Natural Language Engineering
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Large-scale verb entailment acquisition from the web
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Learning arguments and supertypes of semantic relations using recursive patterns
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Temporal Relations Learning with a Bootstrapped Cross-document Classifier
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A flexible, corpus-driven model of regular and inverse selectional preferences
Computational Linguistics
Modeling reciprocity in social interactions with probabilistic latent space models
Natural Language Engineering
Inductive probabilistic taxonomy learning using singular value decomposition
Natural Language Engineering
Using syntactic-based kernels for classifying temporal relations
Journal of Computer Science and Technology - Special issue on natural language processing
Insights from network structure for text mining
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Class label enhancement via related instances
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Efficient Graph Kernels for Textual Entailment Recognition
Fundamenta Informaticae - RCRA 2009 Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
Learning verb inference rules from linguistically-motivated evidence
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Cause-effect relation learning
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
Semantic role labeling of implicit arguments for nominal predicates
Computational Linguistics
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In this paper we investigate a novel method to detect asymmetric entailment relations between verbs. Our starting point is the idea that some point-wise verb selectional preferences carry relevant semantic information. Experiments using Word-Net as a gold standard show promising results. Where applicable, our method, used in combination with other approaches, significantly increases the performance of entailment detection. A combined approach including our model improves the AROC of 5% absolute points with respect to standard models.