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Spectral Learning of Latent-Variable PCFGs
Shay B. Cohen
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Karl Stratos
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Michael Collins
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Dean P. Foster
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Lyle Ungar
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
ACL |
Citations
URL
Learning the Taxonomy of Function Words for Parsing
Dongchen Li
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Xiantao Zhang
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Dingsheng Luo
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Xihong Wu
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Local String Transduction as Sequence Labeling
Joana Ribeiro
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Shashi Narayan
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Shay B. Cohen
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Xavier Carreras
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Spectral Dependency Parsing with Latent Variables
Paramveer Dhillon
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Jordan Rodu
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Michael Collins
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Dean Foster
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Lyle Ungar
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Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion
Raphaël Bailly
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Xavier Carreras
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Franco M. Luque
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Ariadna Quattoni
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Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
Joseph Le Roux
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Antoine Rozenknop
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Jennifer Foster
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Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations
Liang Sun
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Jason Mielens
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Jason Baldridge
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Diversity in Spectral Learning for Natural Language Parsing
Shashi Narayan
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Shay B. Cohen
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K-best Iterative Viterbi Parsing
Katsuhiko Hayashi
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Masaaki Nagata
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Experiments with Spectral Learning of Latent-Variable PCFGs
Shay B. Cohen
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Karl Stratos
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Michael Collins
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Dean P. Foster
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Lyle Ungar
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Approximate PCFG Parsing Using Tensor Decomposition
Shay B. Cohen
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Giorgio Satta
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Michael Collins
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Nonconvex Global Optimization for Latent-Variable Models
Matthew R. Gormley
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Jason Eisner
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A Provably Correct Learning Algorithm for Latent-Variable PCFGs
Shay B. Cohen
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Michael Collins
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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-Rank Tensors for Scoring Dependency Structures
Tao Lei
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Yu Xin
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Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Learning Grammar with Explicit Annotations for Subordinating Conjunctions
Dongchen Li
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Xiantao Zhang
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Xihong Wu
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Optimizing Spectral Learning for Parsing
Shashi Narayan
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Shay B. Cohen
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A Latent Variable Model Approach to PMI-based Word Embeddings
Sanjeev Arora
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Yuanzhi Li
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Yingyu Liang
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Tengyu Ma
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Andrej Risteski
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Spectral Learning of Refinement HMMs
Karl Stratos
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Alexander Rush
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Shay B. Cohen
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Michael Collins
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No URLs Found
Field Of Study
Approach
Semi-supervised Learning
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