file.pdf (143.47 kB)
Download file

Summarizing Non-textual Events with a 'Briefing' Focus

Download (143.47 kB)
journal contribution
posted on 01.01.2005, 00:00 authored by Mohit Kumar, Dipanjan Das, Alexander RudnickyAlexander Rudnicky

We describe a learning-based system for generating reports based on a mix of text and event data. The system incorporates several stages of processing, including aggregation, template-filling and importance ranking. Aggregators and templates were based on a corpus of reports evaluated by human judges. Importance and granularity were learned from this corpus as well. We find that high-scoring reports (with a recall of 0.89) can be reliably produced using this procedure given a set of oracle features. The report drafting system is part of a learning cognitive assistant RADAR, and is used to describe its performance.




Usage metrics