David Andrzejewski

发表

Improving Diversity in Ranking using Absorbing Random Walks

Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, 2007, NAACL.

Exploring Topic Coherence over Many Models and Many Topics

David Buttler, W. Philip Kegelmeyer, Keith Stevens, 2012, EMNLP.

Statistical Debugging Using Latent Topic Models

Xiaojin Zhu, Ben Liblit, David Andrzejewski, 2007, ECML.

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors

Xiaojin Zhu, Mark Craven, David Andrzejewski, 2009, ICML '09.

Latent Dirichlet Allocation with Topic-in-Set Knowledge

Xiaojin Zhu, David Andrzejewski, Xiaojin Zhu, 2009, HLT-NAACL 2009.

Inferring compositional style in the neo-plastic paintings of Piet Mondrian by machine learning

David G. Stork, Xiaojin Zhu, Ron Spronk, 2010, Electronic Imaging.

Rapid Exploitation and Analysis of Documents

Byron J. Gao, David Buttler, David Andrzejewski, 2011 .

Latent topic feedback for information retrieval

David Buttler, David J. Buttler, David Andrzejewski, 2011, KDD.

Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis

David Andrzejewski, David Andrzejewski, 2011 .

Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006

Xiaojin Zhu, Mark Craven, Burr Settles, 2006, TREC.

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic

Xiaojin Zhu, Mark Craven, Benjamin Recht, 2022 .

Incorporating domain knowledge in latent topic models

Xiaojin Zhu, Mark Craven, David Andrzejewski, 2010 .

May All Your Wishes Come True: A Study of Wishes and How to Recognize Them

Xiaojin Zhu, Andrew B. Goldberg, Bryan R. Gibson, 2009, NAACL.

Modeling Protein-Protein Interactions in Biomedical Abstracts with Latent Dirichlet Allocation

David Andrzejewski, 2006 .