Title :
Finding Similar Texts Using U-WIN
Author :
Shim, Kang-seop ; Ock, Cheol-Young ; Kim, Dong-Meong ; Choe, Ho-Seop ; Kim, Chang-Hwan
Author_Institution :
Dept. of Comput. Eng. & Inf. Technol., Ulsan Univ., Ulsan
Abstract :
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 previous domestic researches for finding similar texts used only the words that occur in texts. In this paper, we propose the semantic based method of finding similar texts by determining the meaning of the words, using semantic similarity measurement with U-WIN.
Keywords :
natural language processing; text analysis; U-WIN; WordNet; semantic language resources; semantic similarity measurement; similar text finding; Educational institutions; Equations; Frequency; Information retrieval; Information systems; Information technology; Intelligent networks; Natural languages; Ontologies; Recommender systems; Semantic Similarity; Text Similarity; U-WIN;
Conference_Titel :
Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
Conference_Location :
Dalian Liaoning
Print_ISBN :
978-0-7695-3273-8
DOI :
10.1109/ALPIT.2008.81
