Non-textual Event Summarization by Applying Machine Learning to Template-based Language Generation

@inproceedings{Kumar2009NontextualES,
  title={Non-textual Event Summarization by Applying Machine Learning to Template-based Language Generation},
  author={M. V. Pratap Kumar and Dipanjan Das and Sachin Agarwal and Alexander I. Rudnicky},
  year={2009}
}
We describe a learning-based system that creates draft reports based on observation of people preparing such reports in a target domain (conference replanning). The reports (or briefings) are based on a mix of text and event data. The latter consist of task creation and completion actions, collected from a wide variety of sources within the target environment. The report drafting system is part of a larger learningbased cognitive assistant system that improves the quality of its assistance… CONTINUE READING

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Non-textual event summarization by applying machine learning to template-based language generation

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  • 2009
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8 Excerpts

Automatic extraction of briefing templates

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1 Excerpt

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