@article{TACL528,
	author = {Xiao Ling and Sameer Singh and Daniel Weld},
	title = {Design Challenges for Entity Linking},
	journal = {Transactions of the Association for Computational Linguistics},
	volume = {3},
	year = {2015},
	keywords = {},
	abstract = {Recent research on entity linking (EL) has introduced a
plethora of promising techniques, ranging from deep neural networks to joint
inference. But despite numerous papers there is surprisingly little
understanding of the state of the art in EL. We attack this confusion by
analyzing differences between several versions of the EL problem and
presenting a simple yet effective, modular, unsupervised system, called
Vinculum, for entity linking. We conduct an extensive evaluation on nine
data sets, comparing Vinculum with two state-of-the-art systems, and
elucidate key aspects of the system that include mention extraction,
candidate generation, entity type prediction, entity coreference, and
coherence.},
	issn = {2307-387X},
	url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/528},
	pages = {315--328}
}