Large lexicons for natural language processing: utilising the grammar coding system of LDOCE
Computational Linguistics - Special issue of the lexicon
Computational Linguistics
A probabilistic account of logical metonymy
Computational Linguistics
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
Towards a proper treatment of coercion phenomena
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
A statistical approach to the processing of metonymy
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Enjoy the paper: lexical semantics via lexicology
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
The second release of the RASP system
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Unsupervised learning of selectional restrictions and detection of argument coercions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Local and global context for supervised and unsupervised metonymy resolution
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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The use of figurative language is ubiquitous in natural language texts and it is a serious bottleneck in automatic text understanding. We address the problem of interpretation of logical metonymy, using a statistical method. Our approach originates from that of Lapata and Lascarides (2003), which generates a list of non-disambiguated interpretations with their likelihood derived from a corpus. We propose a novel sense-based representation of the interpretation of logical metonymy and a more thorough evaluation method than that of Lapata and Lascarides (2003). By carrying out a human experiment we prove that such a representation is intuitive to human subjects. We derive a ranking scheme for verb senses using an unannotated corpus, WordNet sense numbering and glosses. We also provide an account of the requirements that different aspectual verbs impose onto the interpretation of logical metonymy. We tested our system on verb-object metonymic phrases. It identifies and ranks metonymic interpretations with the mean average precision of 0.83 as compared to the gold standard.