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» Topic models with power-law using Pitman-Yor process
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ASSETS
2008
ACM
15 years 7 months ago
Adapting word prediction to subject matter without topic-labeled data
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predicti...
Keith Trnka
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 12 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
TREC
2003
15 years 7 months ago
HARD Experiment at Maryland: From Need Negotiation to Automated HARD Process
Our aim of participating in this year’s High Accuracy Retrieval from Documents (HARD) track is to explore the possibility of developing an automated HARD retrieval model by leve...
Daqing He, Dina Demner-Fushman
EMNLP
2010
15 years 3 months ago
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and ...
Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming ...
DESRIST
2010
Springer
193views Education» more  DESRIST 2010»
15 years 10 months ago
Applying Design Research Artifacts for Building Design Research Artifacts: A Process Model for Enterprise Architecture Planning
Enterprise architecture (EA) describes the fundamental structure of an organization from business to IT. EA as a practice as well as a research topic has been around for several ye...
Stephan Aier, Bettina Gleichauf