The evaluation has ended.
See the official paper of TempEval-3 task: http://www.aclweb.org/anthology/S/S13/S13-2001.pdf
or ArXiv paper http://arxiv.org/abs/1206.5333
The aim of TempEval is to advance research on temporal information processing, which could eventually help NLP applications like question answering, textual entailment, summarization, etc. TempEval-3 follows on from previous TempEval events, incorporating: a three-part task structure covering event, temporal expression and temporal relation extraction; the use of the complete set of TimeML temporal relations, that was simplified in previous editions; a 10-times larger dataset; and single overall performance scores, which allow the ranking of the participating systems in each task and also in general..
James Allen (firstname.lastname@example.org), University of Rochester
Leon Derczynski (email@example.com), University of Sheffield
Hector Llorens (firstname.lastname@example.org), University of Alicante
James Pustejovsky (email@example.com), Brandeis University
Naushad UzZaman (firstname.lastname@example.org), University of Rochester [Primary Contact]
Marc Verhagen (email@example.com), Brandeis University
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