From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
R. Balasubramanyan, B. Dalvi, and W. Cohen.
ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 628-642. Springer, (2013)

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@inproceedings{conf/pkdd/BalasubramanyanDC13,
  added-at = {2014-03-25T12:11:17.000+0100},
  author = {Balasubramanyan, Ramnath and Dalvi, Bhavana Bharat and Cohen, William W.},
  biburl = {https://puma.uni-kassel.de/bibtex/2e56623d21a1b7bcb442cd15fe098bb70/hotho},
  booktitle = {ECML/PKDD (2)},
  crossref = {conf/pkdd/2013-2},
  editor = {Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and Zelezný, Filip},
  ee = {http://dx.doi.org/10.1007/978-3-642-40991-2_40},
  interhash = {9a32b7cc059a500ea302d0aa65036682},
  intrahash = {e56623d21a1b7bcb442cd15fe098bb70},
  isbn = {978-3-642-40990-5},
  keywords = {learning models sota supervised topic toread},
  pages = {628-642},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2014-03-25T12:11:17.000+0100},
  title = {From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.},
  url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2013-2.html#BalasubramanyanDC13},
  volume = 8189,
  year = 2013
}

%0 Conference Paper
%1 conf/pkdd/BalasubramanyanDC13
%A Balasubramanyan, Ramnath
%A Dalvi, Bhavana Bharat
%A Cohen, William W.
%B ECML/PKDD (2)
%D 2013
%E Blockeel, Hendrik
%E Kersting, Kristian
%E Nijssen, Siegfried
%E Zelezný, Filip
%I Springer
%K learning models sota supervised topic toread
%P 628-642
%T From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
%U http://dblp.uni-trier.de/db/conf/pkdd/pkdd2013-2.html#BalasubramanyanDC13
%V 8189
%@ 978-3-642-40990-5

PUMA

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
R. Balasubramanyan, B. Dalvi, and W. Cohen.
ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 628-642. Springer, (2013)

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PUMA

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.R. Balasubramanyan, B. Dalvi, and W. Cohen. ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 628-642. Springer, (2013)

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Cite this publication

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
R. Balasubramanyan, B. Dalvi, and W. Cohen.
ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 628-642. Springer, (2013)