Artificial Intelligence - Special volume on natural language processing
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Understanding metonymies in discourse
Artificial Intelligence
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Similarity-based word sense disambiguation
Computational Linguistics - Special issue on word sense disambiguation
Lexical rules in constraint-based grammars
Computational Linguistics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Metonymy: reassessment, survey of acceptability, and its treatment in a machine translation system
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Syntactic features for high precision word sense disambiguation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
The necessity of parsing for predicate argument recognition
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
One sense per collocation and genre/topic variations
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Metonymy resolution as a classification task
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Example-based metonymy recognition for proper nouns
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Active learning for the identification of nonliteral language
FigLanguages '07 Proceedings of the Workshop on Computational Approaches to Figurative Language
SemEval-2007 task 08: metonymy resolution at SemEval-2007
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
GYDER: maxent metonymy resolution
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UP13: knowledge-poor methods (sometimes) perform poorly
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Combining collocations, lexical and encyclopedic knowledge for metonymy resolution
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
A framework for figurative language detection based on sense differentiation
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Literal and metaphorical sense identification through concrete and abstract context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A computational model of logical metonymy
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
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We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-modifier relations are a high precision feature for metonymy recognition but suffer from data sparseness. We partially overcome this problem by integrating a thesaurus and introducing simpler grammatical features, thereby preserving precision and increasing recall. Our algorithm generalises over two levels of contextual similarity. Resulting inferences exceed the complexity of inferences undertaken in word sense disambiguation. We also compare automatic and manual methods for syntactic feature extraction.