Rough Diamonds in Natural Language Learning

Authors:
David M. Powers;Richard Leibbrandt
Affiliations:
AI Lab, School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, South Australia 5042;AI Lab, School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, South Australia 5042
Venue:
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Year:
2009

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Abstract

Machine Learning of Natural Language provides a rich environment for exploring supervised and unsupervised learning techniques including soft clustering and rough sets. This keynote presentation will trace the course of our Natural Language Learning as well as some quite intriguing spin-off applications. The focus of the paper will be learning, by both human and computer, reinterpreting our work of the last 30 years [1-12,20-24] in terms of recent developments in Rough Sets.