CU-TMP: temporal relation classification using syntactic and semantic features

Authors:
Steven Bethard;James H. Martin
Affiliations:
University of Colorado at Boulder, Boulder, CO;University of Colorado at Boulder, Boulder, CO
Venue:
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Year:
2007

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Abstract

We approached the temporal relation identification tasks of TempEval 2007 as pair-wise classification tasks. We introduced a variety of syntactically and semantically motivated features, including temporal-logic-based features derived from running our Task B system on the Task A and C data. We trained support vector machine models and achieved the second highest accuracies on the tasks: 61% on Task A, 75% on Task B and 54% on Task C.