Semantic interpretation and the resolution of ambiguity: (studies in natural language processing)
Semantic interpretation and the resolution of ambiguity: (studies in natural language processing)
Grammatical Competence and Parsing Performance
Grammatical Competence and Parsing Performance
Conceptual Information Processing
Conceptual Information Processing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
D-theory: talking about talking about trees
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Retrieving NASA Problem Reports with Natural Language
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Retrieving NASA problem reports: a case study in natural language information retrieval
Data & Knowledge Engineering - NLDB2002
Building verb predicates: a computational view
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
The role of semantic roles in disambiguating verb senses
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Semantic interpretation and knowledge extraction
Knowledge-Based Systems
The Acquisition of Common Sense Knowledge by Being Told: An Application of NLP to Itself
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
USYD: WSD and lexical substitution using the Web1T corpus
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
A semantic analyzer for aiding emotion recognition in Chinese
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Journal of Biomedical Informatics
SEEN: a semantic dependency analyzer for Chinese
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
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An algorithm for semantic interpretation is explained. The algorithm is based on predicates defined for WordNet verb classes. The algorithm is driven by the definition of these predicates whose thematic roles are linked to the WordNet ontology for nouns and to the syntactic relations that realize them. The algorithm has been tested in the identification of the meaning of the verb, thematic roles, and temporal and spatial adjuncts.