Semantic interpretation and the resolution of ambiguity: (studies in natural language processing)
Semantic interpretation and the resolution of ambiguity: (studies in natural language processing)
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The KERNEL text understanding system
Artificial Intelligence - Special volume on natural language processing
Innovations in text interpretation
Artificial Intelligence - Special volume on natural language processing
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
D-theory: talking about talking about trees
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
A WordNet-based algorithm for word sense disambiguation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Semantic role labeling of nominalized predicates in Chinese
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Automatically extracting nominal mentions of events with a bootstrapped probabilistic classifier
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Semantic role assignment for event nominalisations by leveraging verbal data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic labeling of compound nominalization in Chinese
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Matching syntactic-semantic graphs for semantic relation assignment
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Mining of parsed data to derive deverbal argument structure
GEAF '09 Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks
Arguments of nominals in semantic interpretation of biomedical text
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
Customisable semantic analysis of texts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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A computational approach to the semantic interpretation of nominalizations is described. Interpretation of nominalizations involves three tasks: deciding whether the nominalization is being used in a verbal or non-verbal sense; disambiguating the nominalized verb when a verbal sense is used; and determining the fillers of the thematic roles of the verbal concept or predicate of the nominalization. A verbal sense can be recognized by the presence of modifiers that represent the arguments of the verbal concept. It is these same modifiers which provide the semantic clues to disambiguate the nominalized verb. In the absence of explicit modifiers, heuristics are used to discriminate between verbal and nonverbal senses. A correspondence between verbs and their nominalizations is exploited so that only a small amount of additional knowledge is needed to handle the nominal form. These methods are tested in the domain of encyclopedic texts and the results are shown.