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Sparse Information Extraction: Unsupervised Language Models to the Rescue
Doug Downey
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Stefan Schoenmackers
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Oren Etzioni
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
ACL |
Citations
URL
Relation Acquisition using Word Classes and Partial Patterns
Stijn De Saeger
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Kentaro Torisawa
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Masaaki Tsuchida
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Jun’ichi Kazama
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Chikara Hashimoto
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Ichiro Yamada
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Jong Hoon Oh
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Istvan Varga
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Yulan Yan
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Improved Extraction Assessment through Better Language Models
Arun Ahuja
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Doug Downey
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Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text
Yi Yang
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Alexander Yates
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Doug Downey
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Contextual Preferences
Idan Szpektor
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Ido Dagan
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Roy Bar-Haim
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Jacob Goldberger
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Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Fei Huang
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Alexander Yates
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Open-Domain Semantic Role Labeling by Modeling Word Spans
Fei Huang
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Alexander Yates
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Machine Reading at the University of Washington
Hoifung Poon
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Janara Christensen
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Pedro Domingos
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Oren Etzioni
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Raphael Hoffmann
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Chloe Kiddon
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Thomas Lin
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Xiao Ling
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Mausam
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Alan Ritter
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Stefan Schoenmackers
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Stephen Soderland
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Dan Weld
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Fei Wu
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Congle Zhang
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Exploring Representation-Learning Approaches to Domain Adaptation
Fei Huang
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Alexander Yates
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Language Models as Representations for Weakly Supervised NLP Tasks
Fei Huang
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Alexander Yates
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Arun Ahuja
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Doug Downey
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No URLs Found
Field Of Study
Task
Tagging
Information Extraction
Information Retrieval
Approach
Generative Model
Graphical Model
Language
English
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