Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning

Powers, D.M.W.

    Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive than most applications. This paper describes computational research into how children learn, with a particular focus on evaluation in both supervised and unsupervised paradigms. Conversely, we gain additional insight into association mining by considering psycholinguistic experiments that quantify the way human association by both adults and children relate to a variety of association measures. Learning and evaluation are not dealt with in isolation, but a program of formal and application-based evaluation is expounded and exemplified to show how to evaluate discovered patterns with and without a gold standard. In this context, some serious issues with current evaluation techniques and accuracy measures are identified and the unbiased techniques identified.
Cite as: Powers, D.M.W. (2008). Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning. In Proc. Seventh Australasian Data Mining Conference (AusDM 2008), Glenelg, South Australia. CRPIT, 87. Roddick, J. F., Li, J., Christen, P. and Kennedy, P. J., Eds. ACS. 3-14.
pdf (from crpit.com) pdf (local if available) BibTeX EndNote GS