Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Approximating an interlingua in a principled way
HLT '91 Proceedings of the workshop on Speech and Natural Language
Building a large ontology for machine translation
HLT '93 Proceedings of the workshop on Human Language Technology
Semantic classes and syntactic ambiguity
HLT '93 Proceedings of the workshop on Human Language Technology
Method for WordNet Enrichment Using WSD
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Interface for WordNet Enrichment with Classification Systems
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Symmetric pattern matching analysis for English coordinate structures
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Mapping WordNets using structural information
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Automatic WordNet mapping using word sense disambiguation
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
Semiautomatic creation of taxonomies
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
Towards a universal wordnet by learning from combined evidence
Proceedings of the 18th ACM conference on Information and knowledge management
Inference of lexical ontologies. The LeOnI methodology
Artificial Intelligence
Constructing and utilizing wordnets using statistical methods
Language Resources and Evaluation
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This paper describes a semi-automatic method for associating a Japanese lexicon with a semantic concept taxonomy called an ontology, using a Japanese-English bilingual dictionary as a "bridge". The ontology supports semantic processing in a knowledge-based machine translation system by providing a set of language-neutral symbols and semantic information. To put the ontology to practical use, lexical items of each language of interest must be linked to appropriate ontology items. The association of ontology items with lexical items of various languages is a process fraught with difficulty: since much of this work depends on the subjective decisions of human workers, large MT dictionaries tend to be subject to some dispersion and inconsistency. The problem we focus on here is how to associate concepts in the ontology with Japanese lexical entities by automatic methods, since it is too difficult to define adequately many concepts manually. We have designed three algorithms to associate a Japanese lexicon with the concepts of the ontology automatically: the equivalent-word match, the argument match, and the example match. We simulated these algorithms for 980 nouns, 860 verbs and 520 adjectives as preliminary experiments. The algorithms are found to be effective for more than 80% of the words.