Document Classification

Automatic document classification becomes very important for information organization and storage because of the fast increasing amount of electronic text documents and the rapid growth of the World Wide Web. We use primarily deep neural networks with particular focus on multi-label categorization.

Publications

Czech Text Document Corpus v 2.0
Pavel Král and Ladislav Lenc
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (2018)
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Document Classification
Combination of Neural Networks for Multi-label Document Classification
Ladislav Lenc and Pavel Král
in 22th International Conference on Applications of Natural Language to Information Systems (NLDB 2017) (2017)
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Document Classification
Two-Level Neural Network for Multi-label Document Classification
Ladislav Lenc and Pavel Král
in 26th International Conference on Artificial Neural Networks (ICANN 2017) (2017)
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Document Classification
Named entities as new features for Czech document classification
Pavel Král
15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014) (2014)
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Document Classification | Named Entity Recognition
Multi-label Document Classification in Czech
Michal Hrala and Pavel Král
16th International conference on Text, Speech and Dialogue (TSD 2013) (2013)
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Document Classification
Evaluation of the Document Classification Approaches
Michal Hrala and Pavel Král
8th International Conference on Computer Recognition Systems (CORES 2013) (2013)
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Document Classification
Linked Data and PageRank based classification
Michal Nykl
IADIS International Conference Theory and Practice in Modern Computing 2013 (part of MCCSIS 2013) (2013)
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Semantic Analysis | Document Classification
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