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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation
Kevin Gimpel
|
Mohit Bansal
|
Density-Driven Cross-Lingual Transfer of Dependency Parsers
Mohammad Sadegh Rasooli
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Michael Collins
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Unsupervised Neural Dependency Parsing
Yong Jiang
|
Wenjuan Han
|
Kewei Tu
|
CRF Autoencoder for Unsupervised Dependency Parsing
Jiong Cai
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Yong Jiang
|
Kewei Tu
|
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
Wenjuan Han
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Yong Jiang
|
Kewei Tu
|
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Junxian He
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Graham Neubig
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Taylor Berg-Kirkpatrick
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Unsupervised Dependency Parsing: Let’s Use Supervised Parsers
Phong Le
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Willem Zuidema
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Spectral Unsupervised Parsing with Additive Tree Metrics
Ankur P. Parikh
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Shay B. Cohen
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Eric P. Xing
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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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Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization
Xuezhe Ma
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Fei Xia
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A convex and feature-rich discriminative approach to dependency grammar induction
Édouard Grave
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Noémie Elhadad
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Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction
Yonatan Bisk
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Julia Hockenmaier
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Labeled Grammar Induction with Minimal Supervision
Yonatan Bisk
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Christos Christodoulopoulos
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Julia Hockenmaier
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Surface Statistics of an Unknown Language Indicate How to Parse It
Dingquan Wang
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Jason Eisner
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http://nlp.stanford.edu/pubs/goldtags-data.tar.bz2
Field Of Study
Task
Relation Extraction
Machine Translation
Approach
Deep Learning
Unsupervised Learning
Language
Chinese
English
Japanese
Spanish
Arabic
Dataset
News
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