Towards a general theory of action and time
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Recovering implicit information
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
Aspect, aspectual class, and the temporal structure of narrative
Computational Linguistics - Special issue on tense and aspect
Computational Linguistics - Special issue on tense and aspect
Temporal ontology in natural language
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
The interpretation of tense in discourse
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Sentence fragments regular structures
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
The interpretation of tense and aspect in English
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Anaphoric reference to events and actions: a representation and its advantages
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
How to visualize time, tense and aspect?
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatic generation of textual summaries from neonatal intensive care data
Artificial Intelligence
Improving heuristic based temporal analysis of narratives with aspect determination
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Tense interpretation in the context of narrative
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
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The PUNDIT system processes natural language descriptions of situations and the intervals over which they hold using an algorithm that integrates aspect and tense logic. It analyses the tense and aspect of the main verb to generate representations of three types of situations---states, processes and events---and to locate the situations with respect to the time at which the text was produced. Each situation type has a distinct temporal structure, represented in terms of one or more intervals. Further, every interval has two features whose different values capture the aspectual differences between the three different situation types. Capturing these differences makes it possible to represent very precisely the times for which predications are asserted to hold.