Towards a general theory of action and time
Artificial Intelligence
Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
A computational model of the semantics of tense and aspect
Computational Linguistics - Special issue on tense and aspect
Computational Linguistics - Special issue on tense and aspect
A processing model for temporal analysis and its application to plan recognition
A processing model for temporal analysis and its application to plan recognition
Maintaining knowledge about temporal intervals
Communications of the ACM
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Tense trees as the "fine structure" of discourse
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
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In previous work we presented an algorithm for tense interpretation which employs a temporal focus to determine the intended temporal relations between the states and events mentioned in a narrative In this paper, we propose a new two-phased classification scheme for aspect Each situation described in an utterance is first classified as static (state) or dynamic (event) and if dynamic as telic (event with a culmination point) or atelic (event without a culmination point) Then, independent of the class the view of the situation is identified either as a point or as an interval We then demonstrate how the determination of aspect can be integrated into our tense interpretation algorithm to produce a richer analysis of temporal relations Our classification for aspect is more detailed than most of the existing schemes allowing us to extract the interval relations between situations and cover a wide range of English narratives.