Latent Dirichlet Allocation Models

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Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email (with Xuerui Wang and Andrés Corrada-Emmanuel), Journal of Artificial Intelligence Research (2007)

Previous work in social network analysis (SNA) has modeled the existence of links from one...

 

Machine Learning

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Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email (with Xuerui Wang and Andrés Corrada-Emmanuel), Journal of Artificial Intelligence Research (2007)

Previous work in social network analysis (SNA) has modeled the existence of links from one...

 

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Combining joint models for biomedical event extraction (with David McClosky, Sebastian Riedel, Mihai Surdeanu, and Christopher D. Manning), BMC Bioinformatics (2012)

Background: We explore techniques for performing model combination between the UMass and Stanford biomedical event...

 

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Piecewise Pseudolikelihood for Efficient Training of Conditional Random Fields (with Charles Sutton), Computer Science Department Faculty Publication Series (2007)

Discriminative training of graphical models can be expensive if the variables have large cardinality, even...

 

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A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance (with Kedar Bellare and Fernando Pereira), Computer Science Department Faculty Publication Series (2005)

The need to measure sequence similarity arises in information extraction, object identity, data mining, biological...

 

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Collective Multi-Label Classification (with Nadia Ghamrawi), Computer Science Department Faculty Publication Series (2005)

Common approaches to multi-label classification learn independent classifiers for each category, and employ ranking or...

 

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The Author-Recipient-Topic Model for Topic and Role Discovery in Social Networks: Experiments with Enron and Academic Email (with Andrés Corrada-Emmanuel and Xuerui Wang), Computer Science Department Faculty Publication Series (2005)

Previous work in social network analysis (SNA) has modeled the existence of links from one...

 

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Topic and Role Discovery in Social Networks (with Andrés Corrada-Emmanuel and Xuerui Wang), Computer Science Department Faculty Publication Series (2005)

Previous work in social network analysis (SNA) has modeled the existence of links from one...

 

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An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching (with Ben Wellner, Fuchun Peng, and Michael Hay), Computer Science Department Faculty Publication Series (2004)

Although information extraction and coref- erence resolution appear together in many applications, most current systems...

 

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Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data (with Charles Sutton and Khashayar Rohanimanesh), Computer Science Department Faculty Publication Series (2004)

In sequence modeling, we often wish to represent complex interaction between labels, such as when...

 

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Extracting social networks and contact information from email and the Web (with Aron Culotta and Ron Bekkerman), Computer Science Department Faculty Publication Series (2004)

We present an end-to-end system that extracts a user’s social network and its members’ contact...

 

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A Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational Models (with David Jensen), Computer Science Department Faculty Publication Series (2003)

Although information extraction and data mining appear together in many applications, their interface in most...

 

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Early Results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons (with Wei Li), Computer Science Department Faculty Publication Series (2003)
 

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Learning with Scope, with Application to Information Extraction and Classification (with David M. Blei and J. Andrew Bagnell), Robotics Institute (2003)

In probabilistic approaches to classification and information extraction, one typically builds a statistical model of...

 

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Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference (with Ben Wellner), Computer Science Department Faculty Publication Series (2003)

Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important...

 

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Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (with John Lafferty and Fernando C.N. Pereira), Departmental Papers (CIS) (2001)

We present conditional random fields, a framework for building probabilistic models to segment and label...