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Small Statistical Models by Random Feature Mixing
Kuzman Ganchev
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Mark Dredze
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
WS |
Citations
URL
Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization
Hajime Senuma
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Akiko Aizawa
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Polynomial to Linear: Efficient Classification with Conjunctive Features
Naoki Yoshinaga
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Masaru Kitsuregawa
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Natural Language Processing with Small Feed-Forward Networks
Jan A. Botha
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Emily Pitler
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Ji Ma
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Anton Bakalov
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Alex Salcianu
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David Weiss
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Ryan McDonald
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Slav Petrov
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A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
Yuan Zhang
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Jason Riesa
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Daniel Gillick
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Anton Bakalov
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Jason Baldridge
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David Weiss
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The Best of BothWorlds – A Graph-based Completion Model for Transition-based Parsers
Bernd Bohnet
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Jonas Kuhn
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A New Entity Salience Task with Millions of Training Examples
Jesse Dunietz
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Daniel Gillick
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Dynamic Feature Induction: The Last Gist to the State-of-the-Art
Jinho D. Choi
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Geolocation for Twitter: Timing Matters
Mark Dredze
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Miles Osborne
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Prabhanjan Kambadur
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K-means Clustering with Feature Hashing
Hajime Senuma
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Efficient Top-Down BTG Parsing for Machine Translation Preordering
Tetsuji Nakagawa
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Embedding Methods for Fine Grained Entity Type Classification
Dani Yogatama
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Daniel Gillick
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Nevena Lazic
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Approximation-Aware Dependency Parsing by Belief Propagation
Matthew R. Gormley
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Mark Dredze
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Jason Eisner
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Comparing Apples to Apple: The Effects of Stemmers on Topic Models
Alexandra Schofield
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David Mimno
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Sparse Non-negative Matrix Language Modeling
Joris Pelemans
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Noam Shazeer
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Ciprian Chelba
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N-Best Reranking by Multitask Learning
Kevin Duh
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Katsuhito Sudoh
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Hajime Tsukada
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Hideki Isozaki
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Masaaki Nagata
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http://people.csail.mit.edu/jrennie/20Newsgroups/
Field Of Study
Language
English
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