@techreport{TD:100010,
	att_abstract={{Determining the coreference of entity mentions in a
discourse is a key part of the interpretation process for
advanced spoken dialog applications. In this paper, we
present the most comprehensive system for statistical
coreference resolution in dialog to date. We also compare
the impact of two contrasting theories of dialog
structure (the stack model and the cache model) on the
performance of statistical coreference resolution, and
show that the stack model outperforms the cache model.
}},
	att_authors={as791w, sb7658},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{ The definitive version was published in Proceedings of ACL 2010. {{, 2010-12-12}}}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={coreference, dialog},
	att_techdoc={true},
	att_techdoc_key={TD:100010},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100010_DS1_2010-11-01T20:29:37.870Z.pdf},
	author={Amanda Stent and Srinivas Bangalore},
	institution={{SLT 2010}},
	month={December},
	title={{Comparing the Impact of Different Accounts of Dialog Structure on Coreference}},
	year=2010,
}