TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Artificial Intelligence - Special volume on natural language processing
Lexical knowledge representation and natural language processing
Artificial Intelligence - Special volume on natural language processing
Computational Linguistics
Data & Knowledge Engineering - Special issue on NLDB '99: applications of natural language to information systems
Table 10 left without paying the bill ! A Good Reason to Treat Metonymy with Conceptual Graphs
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Logical Structures in the Lexicon
Proceedings of the First SIGLEX Workshop on Lexical Semantics and Knowledge Representation
Lexical Operations in a Unification-Based Framework
Proceedings of the First SIGLEX Workshop on Lexical Semantics and Knowledge Representation
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
Lexical rules in constraint-based grammars
Computational Linguistics
Functional centering: grounding referential coherence in information structure
Computational Linguistics
ParseTalk about sentence- and text-level anaphora
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Discourse relations and defeasible knowledge
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
ACL '93 Proceedings of the 31st 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
Processing metonymy: a domain-model heuristic graph traversal approach
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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
On the interaction of metonymies and anaphora
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Syntactic features and word similarity for supervised metonymy resolution
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Metonymy resolution as a classification task
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
On metonymy recognition for geographic information retrieval
International Journal of Geographical Information Science
Automatic interpretation of loosely encoded input
Artificial Intelligence
SemEval-2007 task 08: metonymy resolution at SemEval-2007
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
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
Transforming Wikipedia into a large scale multilingual concept network
Artificial Intelligence
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We propose a new computational model for the resolution of metonymies, a particular type of figurative language. Typically, metonymies are considered as a violation of semantic constraints (e.g., those expressed by selectional restrictions) that require some repair mechanism (e.g., type coercion) for proper interpretation. We reject this view, arguing that it misses out on the interpretation of a considerable number of utterances. Instead, we treat literal and figurative language on a par, by computing both kinds of interpretation independently from each other as long as their semantic representation structures are consistent with the underlying knowledge representation structures of the domain of discourse. The following general heuristic principles apply for making reasonable selections from the emerging readings. We argue that the embedding of utterances in a coherent discourse context is as important for recognizing and interpreting metonymic utterances as intrasentential semantic constraints. Therefore, in our approach, (metonymic or literal) interpretations that establish referential cohesion are preferred over ones that do not. In addition, metonymic interpretations that conform to a metonymy schema are preferred over metonymic ones that do not, and metonymic interpretations that are in conformance with knowledge-based aptness conditions are preferred over metonymic ones that are not. We lend further credit to our model by discussing empirical data from an evaluation study which highlights the importance of the discourse embedding of metonymy interpretation for both anaphora and metonymy resolution.