Foundations of statistical natural language processing
Foundations of statistical natural language processing
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Using Information Extraction and Natural Language Generation to Answer E-Mail
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Automatic Topic Identification Using Ontology Hierarchy
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Software for Creating Domain-Oriented Dictionaries and Document Clustering in Full-Text Databases
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
The role of word sense disambiguation in automated text categorization
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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We describe a Classifier of email queries, which executes text categorization by topic. The specifics of our Classifier is that it allows accurate categorization of short messages containing only a few words. This advantage is achieved by executing morphological and semantic analyses of an incoming text. Specifically, the Classifier provides an efficient information extraction and takes the meaning of words into consideration. By using the hierarchically structured subject domain and classification rules, the Classifier's engine assigns an email query to the most relevant category or categories.