Foundations of statistical natural language processing
Foundations of statistical natural language processing
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Segmenting email message text into zones
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
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Although the Semantic Desktop paradigm has great potential, new users have to face the cold-start problem. Having to start with empty models is a barrier to any semantic technology and filling them with world-known concepts does not work for personal models. We propose to analyze the email database of a user and extract concepts of multiple types to fill the empty PIMO. The paper presents results of the research project Semopad funded by the Stiftung Rheinland-Pfalz für Innovation under contract no. 961-386261/1001.