Title :
Self-organizing semantic maps of Japanese nouns in terms of adnominal constituents
Author :
Ma, Qing ; Kanzaki, Kyoko ; Murata, Masaki ; Utiyama, Masao ; Uchimoto, Kiyotaka ; Isahara, Hitoshi
Author_Institution :
Commun. Res. Lab., Minist. of Posts & Telecommun., Tokyo, Japan
Abstract :
As a beginning study on self-organizing a general Japanese semantic map, which will be very useful in natural language processing, particularly in document organization and information retrieval, this paper describes the construction of a semantic map of Japanese nouns mapped according to their adnominal constituents. These maps are not only an important part of a general Japanese semantic map that we aim to construct, but can also be a powerful tool for supporting the analysis of the relation between head nouns and their adnominal constituents, an important issue in studies of Japanese pragmatics
Keywords :
natural languages; neural nets; self-organising feature maps; semantic networks; Japanese nouns; adnominal constituents; natural language processing; self-organizing; semantic map; Information analysis; Information retrieval; Instruction sets; Laboratories; Magnetic heads; Natural language processing; Natural languages; Neural networks; Training data; Visualization;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.859378