Deriving Multiple Topics to Label Small Document Regions

Author:

Graubitz Henner,Spiliopoulou Myra

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Cimiano, P., Staab, S., Tane, J.: Automatic acquisition of taxonomies from text: Fca meets nlp. In: Proc. of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat, Croatia, September 2003, pp. 10–17 (2003)

2. Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R., Jhingran, A., Kanungo, T., Rajagopalan, S., Tomkins, A., Tomlin, J.A., Zien, J.Y.: SemTag and seeker: Bootstrapping the semantic web via automated semantic annotation. In: Proc. of the 12th Int. World Wide Web Conf., Budapest, Hungary, pp. 178–186. ACM Press, New York (2003)

3. Erdmann, M., Maedche, A., Schnurr, H.-P., Staab, S.: From manual to semiautomatic semantic annotation: About ontology-based text annotation tools. ETAI Journal - Section on Semantic Web 6 (2001)

4. Graubitz, H., Spiliopoulou, M., Winkler, K.: The DIAsDEM framework for converting domain-specific texts into XML documents with data mining techniques. In: Proc. of the 1st IEEE Intl. Conf. on Data Mining, San Jose, CA, November 2001, pp. 171–178. IEEE, Los Alamitos (2001)

5. Handschuh, S., Staab, S., Ciravegna, F.: S-cream – semi-automatic CREation of metadata. In: Proc. of the European Conf. on Knowledge Acquisition and Management (2002)

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