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Artificial Intelligence
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Computational Linguistics - Special issue on tense and aspect
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ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
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ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
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NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
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ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
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ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
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ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
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IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Information Sciences: an International Journal
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Proceedings of the 2005 international conference on Annotating, extracting and reasoning about time and events
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Previous research on temporal anchoring and ordering has focused on the annotation and learning of temporal relations between events. These qualitative relations can be usefully supplemented with information about metric constraints, specifically as to how long events last. This paper describes the first steps in acquiring metric temporal constraints for events. The work is carried out in the context of the TimeML framework for marking up events and their temporal relations. This pilot study examines the feasibility of acquisition of metric temporal constraints from corpora.