Automatic detection of text genre

被引：0
|
作者：
Kessler, B [1 ]
Nunberg, G [1 ]
Schutze, H [1 ]
机构：
[1] Xerox Corp, Palo Alto Res Ctr, Palo Alto, CA 94304 USA
来源：
35TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 8TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 1997年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
iis the text databases available to users become larger and more heterogeneous. genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection based on deeper structural properties.
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页码：32 / 38
页数：7
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