Formulating Representative Features with Respect to Genre Classification

Author:

Kim Yunhyong,Ross Seamus

Publisher

Springer Netherlands

Reference27 articles.

1. Bagdanov, A., and M. Worring. 2001. Fine-grained document genre classification using first order random graphs. In Proceedings of the 2001 Sixth International Conference on Document Analysis and Recognition (ICDAR’01), 79–90. Seattle, WA. USA. http://doi.ieeecomputersociety.org/10.1109/ICDAR.2001.953759

2. Barbu, E., P. Heroux, S. Adam, and E. Turpin. 2005. Clustering document images using a bag of symbols representation. In Proceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR’05), 1216–1220. Seoul, Korea. http://doi.ieeecomputersociety.org/10.1109/ICDAR.2001.953759

3. Bekkerman, R., A. McCallum, and G. Huang. 2004. Automatic categorization of email into folders: Benchmark experiments on Enron and Sri corpora. Technical Report IR-418, Center for Intelligent Information Retrieval, UMASS. http://www . cs.umass.edu/\homedirmccallum/papers/foldering-tr05.pdf

4. Berninger, V.F., Y. Kim, and S. Ross. 2009. Building a document genre corpus: A profile of the KRYS I corpus. In Proceedings of Corpus Profiling Workshop with ‘BCS-IRSG Workshop on Corpus Profiling’. http://www.bcs.org/server.php?show=conWebDoc.26115

5. Biber, D. 1995. Dimensions of register variation: a cross-linguistic comparison. New York, NY: Cambridge University Press.

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1. Exploiting link structure for web page genre identification;Data Mining and Knowledge Discovery;2015-07-07

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