Shallow parsing based on comma values

Authors:
Diego Garat
Affiliations:
Instituto de Computación, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay
Venue:
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Year:
2006

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Abstract

In the belief that punctuation can aid in the process of sentence structure analysis, our work focuses on a prior assignment of values to commas in Spanish texts. Supervised machine learning techniques are applied for learning commas classifiers, taking as input attributes positional information and part of speech tags. One of these comma classifiers and a rule-based analyzer are combined in order to recognize and label text structures. The prior assignment of values to commas allowed the simplification of recognition rules, with very encouraging results.