Evaluation of the Automatic Multilinguality for Time Expression Resolution
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Identifying and tracking entity mentions in a maximum entropy framework
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
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)
Normalization of Temporal Information in Estonian
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
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This paper presents the automatic extension to other languages of TERSEO, a knowledge-based system for the recognition and normalization of temporal expressions originally developed for Spanish. TERSEO was first extended to English through the automatic translation of the temporal expressions. Then, an improved porting process was applied to Italian, where the automatic translation of the temporal expressions from English and from Spanish was combined with the extraction of new expressions from an Italian 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. Relying on such procedures, and without any manual effort or previous knowledge of the target language, TERSEO recognizes and normalizes temporal expressions in Italian with good results (72% precision and 83% recall for recognition).