Maintaining knowledge about temporal intervals
Communications of the ACM
From Language to Time: A Temporal Expression Anchorer
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
Splitting complex temporal questions for question answering systems
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
NaviTexte, a Text Navigation Tool
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Inferring strategies for sentence ordering in multidocument news summarization
Journal of Artificial Intelligence Research
Representing and visualizing calendar expressions in texts
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Clustering and exploring search results using timeline constructions
Proceedings of the 18th ACM conference on Information and knowledge management
WikiWars: a new corpus for research on temporal expressions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
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Unlike most approaches in the field of temporal expressions annotation, we consider that temporal adverbials could be relevant units from the point of view of Information Retrieval. We present here the main principles of our semantic modeling approach to temporal adverbial units. It comprises two steps: functional modeling (using a small number of basic operators) and referential modeling (using calendar intervals). In order to establish relationships between calendar zones, our approach takes into account not only the calendar values involved in adverbial units but also the semantics of prepositional phrases involved in these units. Through a first experiment, we show how Information Retrieval systems could benefit from indexing calendar expressions in texts, defining relevance scores that combine keywords and temporal ranking models.