@proceedings {2017,
	title = {From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models},
	year = {2017},
	address = {Suzhou, China},
	author = {Carlos Cancino-Chacon and Maarten Grachten and Kat Agres}
}
@article {39,
	title = {From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation},
	journal = {Journal of Artificial General Intelligence},
	volume = {6},
	year = {2015},
	pages = {55-86},
	abstract = {We investigate the relationship between lexical spaces and contextually-defined conceptual spaces, offering applications to creative concept discovery. We define a computational method for discovering members of concepts based on semantic spaces: starting with a standard distributional model derived from corpus co-occurrence statistics, we dynamically select characteristic dimensions associated with seed terms, and thus a subspace of terms defining the related concept. This approach performs as well as, and in some cases better than, leading distributional semantic models on a WordNet-based concept discovery task, while also providing a model of concepts as convex regions within a space with interpretable dimensions. In particular, it performs well on more specific, contextualized concepts; to investigate this we therefore move beyond WordNet to a set of human empirical studies, in which we compare output against human responses on a membership task for novel concepts. Finally, a separate panel of judges rate both model output and human responses, showing similar ratings in many cases, and some commonalities and divergences which reveal interesting issues for computational concept discovery.},
	keywords = {behavioural validation, computational creativity, concept discovery, conceptual spaces, distributional semantics},
	issn = {1946-0163},
	doi = {10.1515/jagi-2015-0004},
	url = {http://www.degruyter.com/view/j/jagi.2015.6.issue-1/jagi-2015-0004/jagi-2015-0004.xml?format=INT$\#$fn1},
	author = {Stephen McGregor and Kat Agres and Matthew Purver and Geraint A. Wiggins}
}
