Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Attention, intentions, and the structure of discourse
Computational Linguistics
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
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
A computational model for the analysis of arguments
A computational model for the analysis of arguments
Pragmatic modeling in information system interfaces (goals, dialogue, plans, ill-formedness)
Pragmatic modeling in information system interfaces (goals, dialogue, plans, ill-formedness)
Temporal ontology in natural language
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
A compositional semantics of temporal expressions in English
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
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
The representation and use of focus in a system for understanding dialogs
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Towards event ordering in digital forensics
Proceedings of the 12th ACM workshop on Multimedia and security
Evaluating temporal graphs built from texts via transitive reduction
Journal of Artificial Intelligence Research
Conditional and composite temporal CSPs
Applied Intelligence
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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This paper presents an algorithm which makes use of tense interpretation to determine the intended temporal ordering between the states and events mentioned in a narrative. This is done by maintaining a temporal focus and interpreting the tense of each new statement of the narrative with respect to this focus. In particular, we propose heuristics for determining the temporal ordering and constraints for characterizing coherent tense sequences. The algorithm is further defended through experiments with naturally occurring examples.