Ramnath Balasubramanyan, Bhavana Bharat Dalvi, William W. Cohen. From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. In Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II. Volume 8189 of Lecture Notes in Computer Science, pages 628-642, Springer, 2013. [doi]
@inproceedings{BalasubramanyanDC13,
title = {From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering},
author = {Ramnath Balasubramanyan and Bhavana Bharat Dalvi and William W. Cohen},
year = {2013},
doi = {10.1007/978-3-642-40991-2_40},
url = {http://dx.doi.org/10.1007/978-3-642-40991-2_40},
researchr = {https://researchr.org/publication/BalasubramanyanDC13},
cites = {0},
citedby = {0},
pages = {628-642},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II},
editor = {Hendrik Blockeel and Kristian Kersting and Siegfried Nijssen and Filip Zelezný},
volume = {8189},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-40990-5},
}