Domain identification and keyword extraction of radio news using term weighting

被引：1
|
作者：
Suzuki, Y [1 ]
Fukumoto, F [1 ]
Sekiguchi, Y [1 ]
机构：
[1] Univ Yamanashi, Dept EE & CS, Kofu, Yamanashi, Japan
来源：
1997 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, PROCEEDINGS | 1997年
关键词：
D O I：
10.1109/ASRU.1997.659134
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a method for domain identification and keyword extraction using term weighting for radio news, In our method, feature vectors whose elements are chi(2) values between each keyword and each domain are calculated from newspaper articles automatically. Using the feature vectors, a domain of each part of radio news is selected. Then keywords are extracted by using the selected domain. The results of experiments show that our methods are robust and effective for the speech recognition system.
引用
收藏
页码：543 / 550
页数：8
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