Cheol-Young Ock

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Word sense disambiguation (WSD) is a difficult problem in Computational Linguistics, mostly because of the use of a fixed sense inventory and the deep level of granularity. This paper formulates WSD as a variant of the traveling salesman problem (TSP) to maximize the overall semantic relatedness of the context to be disambiguated. Ant colony optimization, a(More)
Many researches in foreign country for finding similar texts are in progress using the semantic language resources like WordNet. However, in the domestic situation, the language resources like WordNet are still insufficient and so, researches for finding similar texts methods based on it or the methods for utilizing it are insufficient, too. Most of the(More)
This paper proposes using linguistic knowledge from Wik-tionary to improve lexical disambiguation in multiple languages, focusing on part-of-speech tagging in selected languages with various characteristics including English, Vietnamese, and Korean. Dictionaries and subsumption networks are first automatically extracted from Wiktionary. These linguistic(More)
Nowadays, language resources, such as machine readable dictionaries, WordNets, thesaurus, ontology, and semantic networks, are becoming crucial bases for many intelligent systems like Machine Translation, Information Retrieval, and Natural Language Understanding, etc. The purpose of this work is to extract features and to analyze the manually built Korean(More)