The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Natural Language Engineering
Inferring strategies for sentence ordering in multidocument news summarization
Journal of Artificial Intelligence Research
SemEval-2010 task 13: TempEval-2
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Challenges from information extraction to information fusion
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Applying syntactic, semantic and discourse constraints in Chinese temporal annotation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Exploring temporal vagueness with mechanical turk
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
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We describe an experiment on a temporal ordering task in this paper. We show that by selecting event pairs based on discourse structure and by modifying the pre-existent temporal classification scheme to fit the data better, we significantly improve inter-annotator agreement, as well as broaden the coverage of the task. We also present analysis of the current temporal classification scheme and propose ways to improve it in future work.