Title :
Semantic Lexicon Construction in Emergency Domain Based on SOM
Author :
Huang Weidong ; Liu Yinmao ; Chen Hongjie
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Based on the analysis of the characterizing of the emergency knowledge, an automatic constructing of semantic lexicon in emergency domain is proposed. In this paper, five dimensions are designed to represent the words of the emergency domain and an automatic construction system of semantic lexicon is provided. Based on the semantic dimension designed above, Self Organizing Map is applied to unsupervised clustering of Chinese words in emergency domain. The preliminarily experiment shows that our scheme is effective.
Keywords :
dictionaries; natural language processing; pattern clustering; self-organising feature maps; text analysis; unsupervised learning; Chinese words; automatic construction system; emergency domain; emergency knowledge; self organizing map; semantic lexicon construction; unsupervised clustering; Computers; Dictionaries; Government; Neurons; Organizing; Semantics; Speech;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660164
