A Scalable Gibbs Sampler for Probabilistic Entity Linking.

@inproceedings{houlsby-2014-scalable, author = {Neil Houlsby and Massimiliano Ciaramita}, editor = {Maarten de Rijke and Arjen P. de Vries and Tom Kenter and Arjen P. de Vries and ChengXiang Zhai and Arjen P. de Vries and Maarten de Rijke and Franciska de Jong and Kira Radinsky and Katja Hofmann}, title = {{A Scalable Gibbs Sampler for Probabilistic Entity Linking}}, booktitle = {{Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {8416}, pages = {335--346}, publisher = {Springer}, year = {2014}, url = {https://doi.org/10.1007/978-3-319-06028-6_28}, doi = {https://doi.org/10.1007/978-3-319-06028-6_28} }