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» Unsupervised Learning from Linked Documents
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EMNLP
2004
13 years 9 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
IWANN
2009
Springer
14 years 2 months ago
Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing
In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and genera...
Anália Lourenço, Sónia Carnei...
ICML
2009
IEEE
14 years 2 months ago
Topic-link LDA: joint models of topic and author community
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
ICML
2010
IEEE
13 years 9 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
FCSC
2010
238views more  FCSC 2010»
13 years 5 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad