Machine learning of temporal relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Classifying temporal relations between events
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
SemEval-2007 task 15: TempEval temporal relation identification
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CU-TMP: temporal relation classification using syntactic and semantic features
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
LCC-TE: a hybrid approach to temporal relation identification in news text
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
NAIST.Japan: temporal relation identification using dependency parsed tree
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
USFD: preliminary exploration of features and classifiers for the TempEval-2007 tasks
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
WVALI: temporal relation identification by syntactico-semantic analysis
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
XRCE-T: XIP temporal module for TempEval campaign
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
TimeML-compliant text analysis for temporal reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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The task to classify a temporal relation between temporal entities has proven to be difficult with unsatisfactory results of previous research. In TempEval07 that was a first attempt to standardize the task, six teams competed with each other for three simple relationidentification tasks and their results were comparably poor. In this paper we provide an analysis of the TempEval07 competition results, identifying aspects of the tasks which presented the systems with particular challenges and those that were accomplished with relative ease.