ABSTRACT
No abstract available.
- 1.Toru Imai, Richard Schwartz, Francis Kubala, and Long Nguyen. Improved topic discrimination of broadcast news using a rnodcl of multiple simultaneous topics. In Proc. I(JASSP'97, pages 727-730, 1997. Google ScholarDigital Library
- 2.FI.P. Luhn. The automatic creation of literature abstracts. IBM journal, 2(1):159-165, 1968.Google Scholar
- 3.Yuji Matsumoto, Sadao Kurohashi, Takehito Utsuro, Hiroshi Taeki, and Makoto Nagao. Japaneae Morphological Analysia System JUMAN Manual. Nagao Lab. Kyoto University, 1993.Google Scholar
- 4.Hitoshi Suzuki, Shigeru Masuyama, and Shozo Naito. Examination of keyword extraction using thesaurus in japanese text. In {nforrnation Proeeasing Society o.f japan Technical paper NL98-10, pages 73-78, 1993.Google Scholar
- 5.Yoshimi Suzuki, Fumiyo Fukumoto, and Yoshihiro Sekiguchi. Keyword extraction of radio news using term weighting for speech recognition. In NLPRSgT, pages 301- 306, 1997.Google Scholar
- 6.Jerry H. Wright, Michael J. Carey, and Eluned S. Parris. Improved topic spotting through statistical modelling of keyword dependencies. In Proc. ICASSP'95, volume 1, pages 313-316, 1995.Google ScholarCross Ref
- 7.Shin Yamamoto, editor. CItiezo. Asahi Shimbun, 1995.Google Scholar
Index Terms
- Keyword extraction of radio news using term weighting with an encyclopedia and newspaper articles
Recommendations
Keyword extraction using term-domain interdependence for dictation of radio news
ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2In this paper, we propose 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. ...
Balancing between over-weighting and under-weighting in supervised term weighting
Show the importance of the trade-off between over-weighting and under-weighting.Propose a revision of add-one smoothing on delta smoothed idf (dsidf).Present three regularization techniques to reduce over-weighting.Propose a new supervised term ...
A Lightweight Keyword Extraction Algorithm Using a Term Weighting Scheme with Word Features
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and ComputingThe rapid growth of numerous collections of unstructured text increases the need to extract meaningful information. This paper proposes a new lightweight keyword extraction algorithm based on a term weighting scheme with multiple word features, ...
Comments