Towards a general theory of action and time
Artificial Intelligence
Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
Normalization and paraphrasing using symbolic methods
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Annotating and measuring temporal relations in texts
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Coupling a linguistic formalism and a script language
CSLP '06 Proceedings of the Third Workshop on Constraints and Language Processing
SemEval-2007 task 15: TempEval temporal relation identification
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Error analysis of the TempEval temporal relation identification task
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
From Semantic Roles to Temporal Information Representation
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
TimeML events recognition and classification: learning CRF models with semantic roles
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Temporal expression identification based on semantic roles
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Towards unsupervised learning of temporal relations between events
Journal of Artificial Intelligence Research
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We present the system we used for the TempEval competition. This system relies on a deep syntactic analyzer that has been extended for the treatment of temporal expressions, thus making temporal processing a complement to a better general purpose text understanding system.