A syllable based word recognition model for Korean noun extraction

Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
2003 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03  
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean noun extraction systems use a morphological analyzer or a Partof-Speech (POS) tagger. Therefore, they require much of the linguistic knowledge such as morpheme dictionaries and rules (e.g. morphosyntactic rules and morphological rules).
doi:10.3115/1075096.1075156 dblp:conf/acl/LeeRL03 fatcat:hl6642jayfhavjsps6bptfacw4