Evaluation of the Automatic Multilinguality for Time Expression Resolution
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Telling apart temporal locating adverbials and time-denoting expressions
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
A multilingual approach to annotating and extracting temporal information
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Assigning time-stamps to event-clauses
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
The annotation of temporal information in natural language sentences
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Event ordering using TERSEO system
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
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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.