The Journal of Machine Learning Research
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Learning Hierarchical Models of Scenes, Objects, and Parts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Semi-supervised nonlinear dimensionality reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
Subject metadata enrichment using statistical topic models
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Learning from labeled features using generalized expectation criteria
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Constrained Clustering: Advances in Algorithms, Theory, and Applications
Constrained Clustering: Advances in Algorithms, Theory, and Applications
Human Action Recognition by Semilatent Topic Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cross-caption coreference resolution for automatic image understanding
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Domain adaptation for text categorization by feature labeling
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Constrained LDA for grouping product features in opinion mining
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
A Twofold-LDA Model for Customer Review Analysis
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Supervised HDP using prior knowledge
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Incorporating lexical priors into topic models
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Topic extraction based on prior knowledge obtained from target documents
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Incorporating word correlation into tag-topic model for semantic knowledge acquisition
Proceedings of the 21st ACM international conference on Information and knowledge management
Semi-Supervised Latent Dirichlet Allocation and Its Application for Document Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
TV program detection in tweets
Proceedings of the 11th european conference on Interactive TV and video
Incorporating popularity in topic models for social network analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Domain-dependent/independent topic switching model for online reviews with numerical ratings
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Understanding individuals' personal values from social media word use
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Latent Dirichlet Allocation is an unsupervised graphical model which can discover latent topics in unlabeled data. We propose a mechanism for adding partial supervision, called topic-in-set knowledge, to latent topic modeling. This type of supervision can be used to encourage the recovery of topics which are more relevant to user modeling goals than the topics which would be recovered otherwise. Preliminary experiments on text datasets are presented to demonstrate the potential effectiveness of this method.