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Guiding Semi-Supervision with Constraint-Driven Learning
Ming-Wei Chang
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Lev Ratinov
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Dan Roth
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
ACL |
Citations
URL
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
Gholamreza Haffari
|
Anoop Sarkar
|
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
Ang Sun
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Ralph Grishman
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Survey on the Use of Typological Information in Natural Language Processing
Helen O’Horan
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Yevgeni Berzak
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Ivan Vulić
|
Roi Reichart
|
Anna Korhonen
|
Active Learning by Labeling Features
Gregory Druck
|
Burr Settles
|
Andrew McCallum
|
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Kedar Bellare
|
Andrew McCallum
|
On the Use of Virtual Evidence in Conditional Random Fields
Xiao Li
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Using Universal Linguistic Knowledge to Guide Grammar Induction
Tahira Naseem
|
Harr Chen
|
Regina Barzilay
|
Mark Johnson
|
Multi-Source Transfer of Delexicalized Dependency Parsers
Ryan McDonald
|
Slav Petrov
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Keith Hall
|
Training a Parser for Machine Translation Reordering
Jason Katz-Brown
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Slav Petrov
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Ryan McDonald
|
Franz Och
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David Talbot
|
Hiroshi Ichikawa
|
Masakazu Seno
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Hideto Kazawa
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Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Valentin I. Spitkovsky
|
Hiyan Alshawi
|
Daniel Jurafsky
|
Training dependency parsers by jointly optimizing multiple objectives
Keith Hall
|
Ryan McDonald
|
Jason Katz-Brown
|
Michael Ringgaard
|
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
Doo Soon Kim
|
Kunal Verma
|
Peter Yeh
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On Amortizing Inference Cost for Structured Prediction
Vivek Srikumar
|
Gourab Kundu
|
Dan Roth
|
Biased Representation Learning for Domain Adaptation
Fei Huang
|
Alexander Yates
|
Using Soft Constraints in Joint Inference for Clinical Concept Recognition
Prateek Jindal
|
Dan Roth
|
A Structured Learning Approach to Temporal Relation Extraction
Qiang Ning
|
Zhili Feng
|
Dan Roth
|
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages
Shyam Upadhyay
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Jordan Kodner
|
Dan Roth
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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang
|
Hoifung Poon
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Projecting the Knowledge Graph to Syntactic Parsing
Andrea Gesmundo
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Keith Hall
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Discourse Constraints for Document Compression
James Clarke
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Mirella Lapata
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Unsupervised Constraint Driven Learning For Transliteration Discovery
Ming-Wei Chang
|
Dan Goldwasser
|
Dan Roth
|
Yuancheng Tu
|
Minimally-Supervised Extraction of Entities from Text Advertisements
Sameer Singh
|
Dustin Hillard
|
Chris Leggetter
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Constraint-Driven Rank-Based Learning for Information Extraction
Sameer Singh
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Limin Yao
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Sebastian Riedel
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Andrew McCallum
|
Multi-Event Extraction Guided by Global Constraints
Roi Reichart
|
Regina Barzilay
|
Training Dependency Parser Using Light Feedback
Avihai Mejer
|
Koby Crammer
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Unified Expectation Maximization
Rajhans Samdani
|
Ming-Wei Chang
|
Dan Roth
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Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints
Yufan Guo
|
Roi Reichart
|
Anna Korhonen
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Labeling the Languages of Words in Mixed-Language Documents using Weakly Supervised Methods
Ben King
|
Steven Abney
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Inferring latent attributes of Twitter users with label regularization
Ehsan Mohammady Ardehaly
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Aron Culotta
|
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Tim Rocktäschel
|
Sameer Singh
|
Sebastian Riedel
|
Training Structured Prediction Energy Networks with Indirect Supervision
Amirmohammad Rooshenas
|
Aishwarya Kamath
|
Andrew McCallum
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Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
Gideon S. Mann
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Andrew McCallum
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In-domain Relation Discovery with Meta-constraints via Posterior Regularization
Harr Chen
|
Edward Benson
|
Tahira Naseem
|
Regina Barzilay
|
Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser
|
Roi Reichart
|
James Clarke
|
Dan Roth
|
Rich Prior Knowledge in Learning for Natural Language Processing
Gregory Druck
|
Kuzman Ganchev
|
João Graça
|
Crosslingual Induction of Semantic Roles
Ivan Titov
|
Alexandre Klementiev
|
Automatic Event Extraction with Structured Preference Modeling
Wei Lu
|
Dan Roth
|
Cross-lingual Transfer of Semantic Role Labeling Models
Mikhail Kozhevnikov
|
Ivan Titov
|
Zero-shot Learning of Classifiers from Natural Language Quantification
Shashank Srivastava
|
Igor Labutov
|
Tom Mitchell
|
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
|
Christopher D. Manning
|
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents
Yufan Guo
|
Roi Reichart
|
Anna Korhonen
|
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
|
Regina Barzilay
|
Tommi Jaakkola
|
Mapping to Declarative Knowledge for Word Problem Solving
Subhro Roy
|
Dan Roth
|
Coupling Semi-Supervised Learning of Categories and Relations
Andrew Carlson
|
Justin Betteridge
|
Estevam Rafael Hruschka Junior
|
Tom M. Mitchell
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Punctuation: Making a Point in Unsupervised Dependency Parsing
Valentin I. Spitkovsky
|
Hiyan Alshawi
|
Daniel Jurafsky
|
Exploiting Partial Annotations with EM Training
Dirk Hovy
|
Eduard Hovy
|
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints
Kartik Goyal
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Chris Dyer
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http://www.stanford.edu/
Field Of Study
Task
Information Extraction
Approach
Generative Model
Semi-supervised Learning
Unsupervised Learning
Language
English
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