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Keyword extraction of radio news using term weighting with an encyclopedia and newspaper articles
1998
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98
In this paper, we propose a method for keyword extraction of radio news. Using our method, data sparseness problem and false alarm problem was Iightened even for short discourse or document. Also, our method is robust for partial errors of phoneme recognition. In our method, there are two procedures: i.e. term weighting and keyword extraction. In procedure of term weighting, a feature vector of each domain is calculated using an encyclopedia and newspaper articles. In procedure of keyword
doi:10.1145/290941.291062
dblp:conf/sigir/SuzukiFS98
fatcat:hfuhhjsnzndyfjxsyhprbrrade