Towards a general theory of action and time
Artificial Intelligence
Algorithms for analysing the temporal structure of discourse
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A model for processing temporal references in Chinese
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
A multilingual approach to annotating and extracting temporal information
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
XRCE-T: XIP temporal module for TempEval campaign
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
XTM: a robust temporal text processor
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Linguistic and temporal processing for discovering hospital acquired infection from patient records
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
Evaluating temporal graphs built from texts via transitive reduction
Journal of Artificial Intelligence Research
Towards unsupervised learning of temporal relations between events
Journal of Artificial Intelligence Research
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This paper focuses on the automated processing of temporal information in written texts, more specifically on relations between events introduced by verbs in finite clauses. While this problem has been largely studied from a theoretical point of view, it has very rarely been applied to real texts, if ever, with quantified results. The methodology required is still to be defined, even though there have been proposals in the strictly human annotation case. We propose here both a procedure to achieve this task and a way of measuring the results. We have been testing the feasibility of this on newswire articles, with promising results.