@inproceedings{Devereux:Costello:07,
	title = {Learning to interpret novel noun-noun compounds: Evidence from a category learning experiment},
	address = {Prague, Czech Republic},
	author = {Barry Devereux and Fintan Costello},
	booktitle = {Proceedings of the ACL Workshop on Cognitive Aspects of Computational Language Acquisition},
	month = {June},
	pages = {89--96},
	publisher = {Association for Computational Linguistics},
	url = {http://acl.ldc.upenn.edu/W/W07/W07-0612.pdf},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2b9adfbfdd5cb92a4acc94229bd1f41e0/seandalai},
	description = {Learned relation knowledge (how diff. kinds of beetles eat diff. kinds of plants) transfers to compound interpretation.
Beetle knowledge more important than plant knowledge (animacy? agentivity?)
Ordering has no effect on relation interpretation},
	abstract = {The ability to correctly interpret and produce noun-noun compounds such as WIND FARM or CARBON TAX is an important part of the acquisition of language in various domains of discourse. One approach to the interpretation of noun-noun compounds assumes that people make use of distributional information about how the constituent words of compounds tend to combine; another assumes that people make use of information about the two constituent concepts’ features to produce interpretations. We present an experiment that examines how people acquire both the distributional information and conceptual information relevant to compound interpretation. A plausible model of the interpretation process is also presented.},
	keywords = {2007 compounds psycholinguistics workshop }
}