Supervised Recognition of Age-Related Spanish Temporal Phrases

  • Sofia N. Galicia-Haro
  • Alexander F. Gelbukh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5845)


This paper reports research on temporal expressions shaped by a common temporal expression for a period of years modified by an adverb of time. From a Spanish corpus we found that some of those phrases are age-related expressions. To determine automatically the temporal phrases with such meaning we analyzed a bigger sample obtained from the Internet. We analyzed these examples to define the relevant features to support a learning method. We present some preliminary results when a decision tree is applied.


temporal expressions learning supervised method decision tree 


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  1. 1.
    Ferro, L., Gerber, L., Mani, I., Sundheim, B., Wilson, G.: TIDES 2003 Standard for the Annotation of Temporal Expressions. MITRE Corporation (2004)Google Scholar
  2. 2.
    Galicia-Haro, S.N.: Using Electronic Texts for an Annotated Corpus Building. In: 4th Mexican International Conference on Computer Science, ENC 2003, Mexico, pp. 26–33 (2003)Google Scholar
  3. 3.
    Galicia-Haro, S.N.: Spanish temporal expressions: Some forms reinforced by an adverb. In: Gelbukh, A., Morales, E.F. (eds.) MICAI 2008. LNCS (LNAI), vol. 5317, pp. 193–203. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
    Gelbukh, A., Bolshakov, I.A.: Internet, a true friend of translators: the Google wildcard operator. International Journal of Translation 18(1–2), 41–48 (2006)Google Scholar
  5. 5.
    Gelbukh, A., Sidorov, G.: Approach to construction of automatic morphological analysis systems for inflective languages with little effort. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, pp. 215–220. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  6. 6.
    Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2006)Google Scholar
  7. 7.
    Cuadrado, H., Alberto, L.: Gramática del adverbio en español. In: Dykinson (ed.) (2006)Google Scholar
  8. 8.
    Kilgarriff, A.: Googleology is Bad Science. Computational Linguistics 33, 147–151 (2007)CrossRefGoogle Scholar
  9. 9.
    Llido, D., Berlanga, R., Aramburu, M.J.: Extracting temporal references to assign document event-time periods. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 62–71. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  10. 10.
    Mandel, M., Walter, C.: Pautas para la anotación del Tiempo para Lenguas poco enseñadas (basado en los estándares de TIMEX2) Versión 1.0 Consorcio de Datos Lingüísticos (2006)Google Scholar
  11. 11.
    Named Entity Task Definition (v2.1), Appendix C: Proceedings of the Sixth Message Understanding Conference (MUC-6). Columbia, MD, 317–332 (1995)Google Scholar
  12. 12.
    Saquete, E., Martinez-Barco, P.: Grammar specification for the recognition of temporal expressions. In: Proceedings of Machine Translation and multilingual applications in the new millennium. MT2000, Exeter, UK, pp. 21.1–21.7 (2000)Google Scholar
  13. 13.
    Saquete, E., Martinez-Barco, P., Muñoz, R.: Recognizing and tagging temporal expressions in Spanish. In: Workshop on Annotation Standards for Temporal Information in Natural Language, LREC 2002 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sofia N. Galicia-Haro
    • 1
  • Alexander F. Gelbukh
    • 2
  1. 1.Facultad de CienciasUniversidad Nacional Autónoma de MéxicoMexico
  2. 2.Centro de Investigación en ComputaciónInstituto Politécnico NacionalMexico

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