From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering

Balasubramanyan et al. "From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40991-2_40

[Balasubramanyan et al. "From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/balasubramanyan2013ecmlpkdd-topic/) doi:10.1007/978-3-642-40991-2_40

@inproceedings{balasubramanyan2013ecmlpkdd-topic,
  title     = {{From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering}},
  author    = {Balasubramanyan, Ramnath and Dalvi, Bhavana Bharat and Cohen, William W.},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2013},
  pages     = {628-642},
  doi       = {10.1007/978-3-642-40991-2_40},
  url       = {https://mlanthology.org/ecmlpkdd/2013/balasubramanyan2013ecmlpkdd-topic/}
}