The HeidelTime team of the Heidelberg University participated in the TempEval-3 challenge of the SemEval 2013 workshop. For this, we tuned HeidelTime’s English resources and developed new Spanish resources. For both languages, HeidelTime achieved the best results for the temporal tagging task (extraction + normalization) of all participants.
In the context of TempEval-3, we released a new version of HeidelTime (HeidelTime 1.3), which can now process texts of seven languages: English, German, Dutch, Spanish, Italian, Arabic, and Vietnamese.