Detecting interesting event sequences for sports reporting

Authors:
François Lareau;Mark Dras;Robert Dale
Affiliations:
Macquarie University, Sydney, Australia;Macquarie University, Sydney, Australia;Macquarie University, Sydney, Australia
Venue:
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Year:
2011

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Abstract

Hand-crafted approaches to content determination are expensive to port to new domains. Machine-learned approaches, on the other hand, tend to be limited to relatively simple selection of items from data sets. We observe that in time series domains, textual descriptions often aggregate a series of events into a compact description. We present a simple technique for automatically determining sequences of events that are worth reporting, and evaluate its effectiveness.