In this paper, we propose a keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are automatically classified into suitable domains are used in order to calculate feature vectors. The feature vectors show term-domain interdependence and are used for selecting a suitable domain of each part of radio news. Keywords are extracted by using the selected domain. The results of keyword extraction experiments showed that our methods are effective for keyword extraction of radio news.
Cite as: Suzuki, Y., Fukumoto, F., Sekiguchi, Y. (1998) Keyword extraction of radio news using domain identification based on categories of an encyclopedia. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0739, doi: 10.21437/ICSLP.1998-508
@inproceedings{suzuki98b_icslp,
author={Yoshimi Suzuki and Fumiyo Fukumoto and Yoshihiro Sekiguchi},
title={{Keyword extraction of radio news using domain identification based on categories of an encyclopedia}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0739},
doi={10.21437/ICSLP.1998-508}
}