Use of Co-occurrences for Temporal Expressions Annotation

Authors:
Olga Craveiro;Joaquim Macedo;Henrique Madeira
Affiliations:
School of Technology and Management, Polytechnic Institute of Leiria, Portugal and CISUC, Department of Informatics Engineering, University of Coimbra, Portugal;Department of Informatics, University of Minho, Portugal;CISUC, Department of Informatics Engineering, University of Coimbra, Portugal
Venue:
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Year:
2009

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Abstract

The annotation or extraction of temporal information from text documents is becoming increasingly important in many natural language processing applications such as text summarization, information retrieval, question answering, etc.. This paper presents an original method for easy recognition of temporal expressions in text documents. The method creates semantically classified temporal patterns, using word co-occurrences obtained from training corpora and a pre-defined seed keywords set, derived from the used language temporal references. A participation on a Portuguese named entity evaluation contest showed promising effectiveness and efficiency results. This approach can be adapted to recognize other type of expressions or languages, within other contexts, by defining the suitable word sets and training corpora.