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
Discourse-constrained temporal annotation
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
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This paper proposes schematic changes to the TempEval framework that target the temporal vagueness problem. Specifically, two elements of vagueness are singled out for special treatment: vague time expressions, and explicit/implicit temporal modification of events. As proof of concept, an annotation experiment on explicit/implicit modification is conducted on Amazon's Mechanical Turk. Results show that the quality of a considerable segment of the annotation is comparable to annotation obtained in the traditional double-blind setting, only with higher coverage. This approach offers additional flexibility in how the temporal annotation data can be used.