Corpora: Unsupervised learning

Jose Maria Gomez Hidalgo (jmgomez@dinar.esi.uem.es)
Wed, 10 Mar 1999 18:01:48 +0100

I apologize for cross-postings of this message
----------------------------------------------

Dear colleagues

I would like to know about attempts to build classifiers through
unsupervised learning, or to integrate other information sources in a
supervised learning-based classifier. The only one I am aware of is the one
by Yang and Chute [1].

My research group [2] is working on integrating external knowledge into
supervised learning for the problem of text categorization [3]. Our
approach is based on the assumption that, when few example documents are
available for a category, the use of external information can improve the
classification of new documents into the category.

Many thanks in advance

[1] Yang, Y., Chute, C.G. An example-based mapping method for text
classification and retrieval. ACM Transactions on Information Systems
(TOIS) 1994;12(3):252-77

[2] Laboratory of Intelligent Information Access Systems, Universidad
Europea de Madrid, http://www.esi.uem.es/laboratorios/sinai/

[3] Buenaga, M., Gómez Hidalgo, J., Díaz Agudo, B., Using WordNet to
Complement Training Information in Text Categorization, 2nd International
Conference on Recent Advances in Natural Language Processing (RANLP),
Tzigov Chark, Bulgaria, Sept. 1997.

_____________________________________________________________________________

Jose Maria Gomez Hidalgo
Departamento de Inteligencia Artificial
Universidad Europea de Madrid - CEES
28670 - Villaviciosa de Odon - MADRID Tfno: (91) 616 94 00 Ext. 670
e-mail: jmgomez@dinar.esi.uem.es WWW: http://www.esi.uem.es/~jmgomez/
_____________________________________________________________________________