Title :
The research of Vietnamese language news clue extraction method based on converged network semantic knowledge
Author :
Zhou Feng ; Zhu Li-juan ; Fu Xiao-ming ; Yu Wei-xin ; Yan Xin ; Zhou Lan-jiang
Author_Institution :
Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Lexical chain of continuity caused by semantic relations between words which provides clues about news structure and theme. On the basis of solving the problem of ambiguity resolution semantic knowledge fusion network use of lexical chain, combined with the feature of word frequency, location and agglomeration and a series features of Vietnamese news event to, build the lexical chain. By using semantic similarity for ambiguity resolution and eventually constitutes a lexical chain of the news events clue information.
Keywords :
information retrieval; knowledge based systems; natural language processing; Vietnamese language news clue extraction method; Vietnamese news event; ambiguity resolution; lexical chain; semantic knowledge fusion network; word frequency; Aerospace electronics; Data mining; Feature extraction; Image edge detection; Message systems; Semantics; Vocabulary; Ambiguous Words and Semantic Similarity; Entity Extraction; Keyword Extraction; Lexical Chain;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162487
