Evaluation of an Automatic Extension of Temporal Expression Treatment to Catalan
This paper presents the automatic extension to Catalan of a knowledge-based system for the recognition and normalization of temporal expressions, called TERSEO, and originally developed for Spanish but automatically extended to English and Italian using the automatic translation of the existing temporal models. Besides, when an annotated corpus for the new language is also available, the translation is combined with the extraction of new expressions from this annotated corpus. Experimental results demonstrate how, while still adhering to the rule-based paradigm, the development of automatic rule translation procedures allowed us to minimize the effort required for porting to new languages obtaining quite good results in evaluation. Relying on such procedures, and without any manual effort or previous knowledge of the target language, TERSEO recognizes and normalizes temporal expressions in different languages. For the Catalan extension, only the automatic translation of the Spanish temporal model was used, due to the lack of other resources. However, after extending TERSEO to Catalan following this procedure good results (76% precision and 77% recall for recognition) were obtained.
KeywordsTemporal Expression Temporal Model Annotate Corpus Automatic Translation Resolution Rule
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- 1.Ferro, L., Gerber, L., Mani, I., Sundheim, B., Wilson, G.: Tides.2005 standard for the annotation of temporal expressions. Technical report, MITRE (2005)Google Scholar
- 2.Filatova, E., Hovy, E.: Assigning time-stamps to event-clauses. In: ACL (ed.) Proceedings of the 2001 ACL Workshop on Temporal and Spatial Information Processing, Toulouse, France, pp. 88–95 (2001)Google Scholar
- 3.Katz, G., Arosio, F.: The annotation of temporal information in natural language sentences. In: ACL (ed.) Proceedings of the 2001 ACL Workshop on Temporal and Spatial Information Processing, Toulouse, France, pp. 104–111 (2001)Google Scholar
- 4.Moia, T.: Telling apart temporal locating adverbials and time-denoting expressions. In: ACL (ed.) Proceedings of the 2001 ACL Workshop on Temporal and Spatial Information Processing, Toulouse, France (2001)Google Scholar
- 5.Negri, M., Marseglia, L.: Recognition and normalization of time expressions: Itc-irst at tern 2004. Technical report, ITC-irst, Trento (2004)Google Scholar
- 6.Saquete, E.: Temporal information Resolution and its application to Temporal Question Answering. Phd, Departamento de Lenguages y Sistemas Informáticos. Universidad de Alicante (June 2005)Google Scholar
- 7.Saquete, E., Martínez-Barco, P., Muñoz, R.: Evaluation of the automatic multilinguality for time expression resolution. In: DEXA Workshops, pp. 25–30. IEEE Computer Society Press, Los Alamitos (2004)Google Scholar
- 8.Saquete, E., Muñoz, R., Martínez-Barco, P.: Event ordering using terseo system. Data and Knowledge Engineering Journal (to be published, 2005)Google Scholar
- 9.Schilder, F., Habel, C.: From temporal expressions to temporal information: Semantic tagging of news messages. In: ACL (ed.) Proceedings of the 2001 ACL Workshop on Temporal and Spatial Information Processing, Toulouse, France, pp. 65–72 (2001)Google Scholar
- 10.Setzer, A., Gaizauskas, R.: On the importance of annotating event-event temporal relations in text. In: LREC (ed.) Proceedings of the LREC Workshop on Temporal Annotation Standards, 2002, Las Palmas de Gran Canaria, Spain, pp. 52–60 (2002)Google Scholar
- 11.Wilson, G., Mani, I., Sundheim, B., Ferro, L.: A multilingual approach to annotating and extracting temporal information. In: ACL (ed.) Proceedings of the 2001 ACL Workshop on Temporal and Spatial Information Processing, Toulouse, France, pp. 81–87 (2001)Google Scholar