Joshua Goodman

Publication Activity (10 Years)

Years Active: 1996-2013
Publications (10 Years): 0

Top Topics

Discriminative Training

Gesture Recognition

Maximum Entropy Models

Top Venues

Publications

Joshua Goodman
Reduction of Maximum Entropy Models to Hidden Markov Models CoRR (2013)
Joshua Goodman, Gordon V. Cormack, David Heckerman
Spam and the ongoing battle for the inbox. Commun. ACM 50 (2) (2007)
Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki
Multi-Document Summarization by Maximizing Informative Content-Words. IJCAI (2007)
Wen-tau Yih, Joshua Goodman, Geoff Hulten
Learning at Low False Positive Rates. CEAS (2006)
Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho
Finding advertising keywords on web pages. WWW (2006)
Joshua Goodman, Wen-tau Yih
Online Discriminative Spam Filter Training. CEAS (2006)
David Heckerman, Tom Berson, Joshua Goodman, Andrew Y. Ng
The First Conference on E-mail and Anti-Spam. AI Mag. 26 (1) (2005)
Joshua Goodman, Vitor R. Carvalho
Implicit Queries for Email. CEAS (2005)
Joshua Goodman
Exponential Priors for Maximum Entropy Models. HLT-NAACL (2004)
Joshua Goodman
Filtering, Stamping, Blocking, Anti-Spoofing: How to Stop the Spam. LISA (2004)
Joshua Goodman
IP Addresses in Email Clients. CEAS (2004)
Joshua Goodman
The State of the Art in Language Modeling. HLT-NAACL (2003)
Joshua Goodman
Sequential Conditional Generalized Iterative Scaling. ACL (2002)
Joshua Goodman, Gina Danielle Venolia, Keith Steury, Chauncey Parker
Language modeling for soft keyboards. IUI (2002)
Joshua Goodman, Gina Danielle Venolia, Keith Steury, Chauncey Parker
Language Modeling for Soft Keyboards. AAAI/IAAI (2002)
Joshua Goodman
An Incremental Decision List Learner. EMNLP (2002)
Joshua Goodman
Extended Comment on Language Trees and Zipping CoRR (2002)
Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-Fu Lee
Toward a unified approach to statistical language modeling for Chinese. ACM Trans. Asian Lang. Inf. Process. 1 (1) (2002)
Jianfeng Gao, Joshua Goodman, Guihong Cao, Hang Li
Exploring Asymmetric Clustering for Statistical Language Modeling. ACL (2002)
Joshua Goodman
Reduction of Maximum Entropy Models to Hidden Markov Models. UAI (2002)
Joshua Goodman
Classes for Fast Maximum Entropy Training CoRR (2001)
Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Jasha Droppo, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Steury, Gina Venolia, Kuansan Wang, Ye-Yi Wang
MiPad: a multimodal interaction prototype. ICASSP (2001)
Joshua Goodman
A Bit of Progress in Language Modeling CoRR (2001)
Joshua Goodman
Classes for fast maximum entropy training. ICASSP (2001)
Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Wang, Ye-Yi Wang
Mipad: a next generation PDA prototype. INTERSPEECH (2000)
Joshua Goodman, Jianfeng Gao
Language model size reduction by pruning and clustering. INTERSPEECH (2000)
Stanley F. Chen, Joshua Goodman
An empirical study of smoothing techniques for language modeling. Comput. Speech Lang. 13 (4) (1999)
Joshua Goodman
Semiring Parsing. Comput. Linguistics 25 (4) (1999)
Joshua Goodman
Parsing Inside-Out CoRR (1998)
Joshua Goodman
Probabilistic Feature Grammars. IWPT (1997)
Joshua Goodman
Global Thresholding and Multiple Pass Parsing CoRR (1997)
Joshua Goodman
Global Thresholding and Multiple-Pass Parsing. EMNLP (1997)
Joshua Goodman
Parsing Algorithms and Metrics CoRR (1996)
Stanley F. Chen, Joshua Goodman
An Empirical Study of Smoothing Techniques for Language Modeling. ACL (1996)
Joshua Goodman
Parsing Algorithms and Metrics. ACL (1996)
Joshua Goodman
Efficient Algorithms for Parsing the DOP Model. EMNLP (1996)
Stanley F. Chen, Joshua Goodman
An Empirical Study of Smoothing Techniques for Language Modeling CoRR (1996)
Joshua Goodman
Efficient Algorithms for Parsing the DOP Model CoRR (1996)