@INPROCEEDINGS { Rsds4836,
author = {Leibbrandt, Richard and Powers, David M.W.}, 
title = {Rough Diamonds in Natural Language Learning}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5589, 
pages = {17--26}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {July}, 
year = 2009, 
editor = {Wen, Peng and Li, Yuefeng and Polkowski, Lech and Yao, Yiyu and Tsumoto, Shusaku and Wang, Guoying}, 
url = {http://www.springerlink.com/content/q0857121u072/?p=fc4581dabf904891bbe1f9cc3f4fdd0d&pi=313}, 
issn = {0302-9743}, 
isbn = {978-3-642-02961-5}, 
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.}, 
keywords = {machine learning, natural language, rough sets, soft clustering, embodied conversational agents, talking head, thinking head, teaching head, evaluation, informedness, markedness, deltap, information retrieval, visualization, human factors, human machine interface (hxi), }, 
}