Automatic detection of text genre
Автоматическое определение жанра текста
1997-01-01
SCID: 54.1/vnw5rx8k
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computational linguisticsstructural propertiessurface cuestext classificationtext genre detection
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Abstract (AI)
As 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.
Key Findings
1
Genre facets correlate with observable surface cues, enabling automatic genre detection from textual surface features.
2
Genre is increasingly important for classifying large, heterogeneous text databases alongside topical and structural criteria.
3
The authors argue that surface-cue-based genre detection can perform as successfully as detection based on deeper structural properties.
4
The paper proposes representing text genres as bundles of facets rather than as single categorical properties.
Research Object
text genre in heterogeneous text databases
Research Subject
automatic genre detection from surface cues compared with detection based on deeper structural properties
Publication Details
Publication Date
1997-01-01
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