Sin-Jae Kang


2003

pdf
Corpus-based Ontology Learning for Word Sense Disambiguation
Sin-Jae Kang
Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation

2002

pdf
Word Sense Disambiguation in a Korean-to-Japanese MT System Using Neural Networks
You-Jin Chung | Sin-Jae Kang | Kyong-Hi Moon | Jong-Hyeok Lee
COLING-02: Machine Translation in Asia

2001

pdf
Semi-Automatic Practical Ontology Construction by Using a Thesaurus, Computational Dictionaries, and Large Corpora
Sin-Jae Kang | Jong-Hyeok Lee
Proceedings of the ACL 2001 Workshop on Human Language Technology and Knowledge Management

pdf
Ontology-based word sense disambiguation using semi-automatically constructed ontology
Sin-Jae Kang | Jong-Hyeok Lee
Proceedings of Machine Translation Summit VIII

This paper describes a method for disambiguating word senses by using semi-automatically constructed ontology. The ontology stores rich semantic constraints among 1,110 concepts, and enables a natural language processing system to resolve semantic ambiguities by making inferences with the concept network of the ontology. In order to acquire a reasonably practical ontology in limited time and with less manpower, we extend the existing Kadokawa thesaurus by inserting additional semantic relations into its hierarchy, which are classified as case relations and other semantic relations. The former can be obtained by converting valency information and case frames from previously-built electronic dictionaries used in machine translation. The latter can be acquired from concept co-occurrence information, which is extracted automatically from large corpora. In our practical machine translation system, our word sense disambiguation method achieved a 9.2% improvement over methods which do not use an ontology for Korean translation.