2015

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Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures
Ramakrishna Bairi | Rishabh Iyer | Ganesh Ramakrishnan | Jeff Bilmes
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

2014

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Submodularity for Data Selection in Machine Translation
Katrin Kirchhoff | Jeff Bilmes
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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Using Document Summarization Techniques for Speech Data Subset Selection
Kai Wei | Yuzong Liu | Katrin Kirchhoff | Jeff Bilmes
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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A Class of Submodular Functions for Document Summarization
Hui Lin | Jeff Bilmes
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Word Alignment via Submodular Maximization over Matroids
Hui Lin | Jeff Bilmes
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Multi-document Summarization via Budgeted Maximization of Submodular Functions
Hui Lin | Jeff Bilmes
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

2009

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Compiling a Massive, Multilingual Dictionary via Probabilistic Inference
Mausam | Stephen Soderland | Oren Etzioni | Daniel Weld | Michael Skinner | Jeff Bilmes
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP

2008

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Soft-Supervised Learning for Text Classification
Amarnag Subramanya | Jeff Bilmes
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

2007

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Generalized Graphical Abstractions for Statistical Machine Translation
Karim Filali | Jeff Bilmes
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

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Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Amarnag Subramanya | Jeff Bilmes
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

2006

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Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
Ryan McDonald | Charles Sutton | Hal Daumé III | Andrew McCallum | Fernando Pereira | Jeff Bilmes
Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing

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Proceedings of the Human Language Technology Conference of the NAACL, Main Conference
Robert C. Moore | Jeff Bilmes | Jennifer Chu-Carroll | Mark Sanderson
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

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Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging
Gang Ji | Jeff Bilmes
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

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Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Robert C. Moore | Jeff Bilmes | Jennifer Chu-Carroll | Mark Sanderson
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers

2005

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Part-of-Speech Tagging using Virtual Evidence and Negative Training
Sheila M. Reynolds | Jeff A. Bilmes
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

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The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments
Jeff A. Bilmes | Xiao Li | Jonathan Malkin | Kelley Kilanski | Richard Wright | Katrin Kirchhoff | Amar Subramanya | Susumu Harada | James Landay | Patricia Dowden | Howard Chizeck
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

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A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
Karim Filali | Jeff Bilmes
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2003

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Factored Language Models and Generalized Parallel Backoff
Jeff A. Bilmes | Katrin Kirchhoff
Companion Volume of the Proceedings of HLT-NAACL 2003 - Short Papers