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• W2913510776 abstract "The computational analysis of time is a challenging and very topical problem, as the needs of applications based on information extraction techniques expand to include varying degrees of time stamping and temporal ordering of events and/or relations within a narrative. The challenges derive from the combined requirements of a mapping process (text to a rich representation of temporal entities), representational framework (ontologically-grounded temporal graph), and reasoning capability (combining commonsense inference with temporal axioms).Usually contextualized in question-answering applications (with obvious dependencies of answers on time), temporal awareness directly impacts numerous areas of NLP and AI: text summarization over events and their participants; making inferences from events in a text; overlaying timelines on document collections; commonsense reasoning in narrative and story understanding." @default.
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• W2913510776 date "2006-07-23" @default.
• W2913510776 modified "2023-10-18" @default.
• W2913510776 title "Proceedings of the Workshop on Annotating and Reasoning about Time and Events" @default.
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