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Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
Valentin I. Spitkovsky
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Daniel Jurafsky
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Hiyan Alshawi
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Enhancing Chinese Word Segmentation Using Unlabeled Data
Weiwei Sun
|
Jia Xu
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Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation
Kevin Gimpel
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Mohit Bansal
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel
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Anders Søgaard
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Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
Roy Schwartz
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Omri Abend
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Roi Reichart
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Ari Rappoport
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Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study
Wenbin Jiang
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Meng Sun
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Yajuan Lü
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Yating Yang
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Qun Liu
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Low-Resource Semantic Role Labeling
Matthew R. Gormley
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Margaret Mitchell
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Benjamin Van Durme
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Mark Dredze
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Parse Imputation for Dependency Annotations
Jason Mielens
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Liang Sun
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Jason Baldridge
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Neural Word Segmentation with Rich Pretraining
Jie Yang
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Yue Zhang
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Fei Dong
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Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein
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Anders Søgaard
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Punctuation: Making a Point in Unsupervised Dependency Parsing
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Reducing the Size of the Representation for the uDOP-Estimate
Christoph Teichmann
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Fast Unsupervised Dependency Parsing with Arc-Standard Transitions
Mohammad Sadegh Rasooli
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Heshaam Faili
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Capitalization Cues Improve Dependency Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Using hyperlinks to improve multilingual partial parsers
Anders Søgaard
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http://nlp.stanford.edu:8080/parser/
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Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Chunking
Information Retrieval
Relation Extraction
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