In this paper, we describe our participation in the TempEval-3 challenge. With our multilingual temporal tagger HeidelTime, we addressed task A, the extraction and normalization of temporal expressions for English and Spanish. Exploiting HeidelTime's strict separation between source code and languagedependent parts, we tuned HeidelTime's existing English resources and developed new Spanish resources. For both languages, we achieved the best results among all participants for task A, the combination of extraction and normalization. Both the improved English and the new Spanish resources are publicly available with HeidelTime.
In TempEval-3, HeidelTime REF was presented as a multilingual temporal tagger for extraction and normalization of time expressions mentioned in English and Spanish texts.
HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
*SEM
Computer Science