NLPExplorer

Effective Self-Training for Parsing

David McClosky | Eugene Charniak | Mark Johnson |

Paper Details:

Month: June
Year: 2006
Location: New York City, USA
Venue: HLT | NAACL |

Citations

URL

Re-estimation of Lexical Parameters for Treebank PCFGs
Tejaswini Deoskar |

When is Self-Training Effective for Parsing?
David McClosky | Eugene Charniak | Mark Johnson |

Semi-supervised dependency parsing using generalized tri-training
Anders Søgaard | Christian Rishøj |

Confidence Measures for Error Discrimination in an Interactive Predictive Parsing Framework
Ricardo Sánchez-Sáez | Joan Andreu Sánchez | José Miguel Benedí |

A Multi-Domain Web-Based Algorithm for POS Tagging of Unknown Words
Shulamit Umansky-Pesin | Roi Reichart | Ari Rappoport |

Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information
Xipeng Qiu | ChaoChao Huang | Xuanjing Huang |

Adapting taggers to Twitter with not-so-distant supervision
Barbara Plank | Dirk Hovy | Ryan McDonald | Anders Søgaard |

Cross-Task Knowledge-Constrained Self Training
Hal Daumé III |

Unbounded Dependency Recovery for Parser Evaluation
Laura Rimell | Stephen Clark | Mark Steedman |

Self-Training PCFG Grammars with Latent Annotations Across Languages
Zhongqiang Huang | Mary Harper |

Polynomial to Linear: Efficient Classification with Conjunctive Features
Naoki Yoshinaga | Masaru Kitsuregawa |

K-Best Combination of Syntactic Parsers
Hui Zhang | Min Zhang | Chew Lim Tan | Haizhou Li |

Self-Training with Products of Latent Variable Grammars
Zhongqiang Huang | Mary Harper | Slav Petrov |

Utilizing Extra-Sentential Context for Parsing
Jackie Chi Kit Cheung | Gerald Penn |

Unsupervised Parse Selection for HPSG
Rebecca Dridan | Timothy Baldwin |

Uptraining for Accurate Deterministic Question Parsing
Slav Petrov | Pi-Chuan Chang | Michael Ringgaard | Hiyan Alshawi |

Semi-supervised CCG Lexicon Extension
Emily Thomforde | Mark Steedman |

Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Eliyahu Kiperwasser | Yoav Goldberg |

Syntactic Parse Fusion
Do Kook Choe | David McClosky | Eugene Charniak |

Parsing as Language Modeling
Do Kook Choe | Eugene Charniak |

Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu | Andrei M. Butnaru |

Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark | Minh-Thang Luong | Christopher D. Manning | Quoc Le |

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
Sudhanshu Kasewa | Pontus Stenetorp | Sebastian Riedel |

Rich Bitext Projection Features for Parse Reranking
Alexander Fraser | Renjing Wang | Hinrich Schütze |

Fast Full Parsing by Linear-Chain Conditional Random Fields
Yoshimasa Tsuruoka | Jun’ichi Tsujii | Sophia Ananiadou |

Structural Correspondence Learning for Parse Disambiguation
Barbara Plank |

Character-based kernels for novelistic plot structure
Micha Elsner |

Generalizing a Strongly Lexicalized Parser using Unlabeled Data
Tejaswini Deoskar | Christos Christodoulopoulos | Alexandra Birch | Mark Steedman |

Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara | Kiyotaka Uchimoto |

Transferring Semantic Roles Using Translation and Syntactic Information
Maryam Aminian | Mohammad Sadegh Rasooli | Mona Diab |

Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features
Yuval Marton | Nizar Habash | Owen Rambow |

Transition-based Spinal Parsing
Miguel Ballesteros | Xavier Carreras |

Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics
Jennifer Foster | Josef van Genabith |

Self-training a Constituency Parser using n-gram Trees
Arda Çelebi | Arzucan Özgür |

Towards Robust Semantic Role Labeling
Sameer Pradhan | Wayne Ward | James Martin |

Language Modeling for Determiner Selection
Jenine Turner | Eugene Charniak |

The Effect of Corpus Size on Case Frame Acquisition for Discourse Analysis
Ryohei Sasano | Daisuke Kawahara | Sadao Kurohashi |

Products of Random Latent Variable Grammars
Slav Petrov |

Automatic Domain Adaptation for Parsing
David McClosky | Eugene Charniak | Mark Johnson |

Reranking the Berkeley and Brown Parsers
Mark Johnson | Ahmet Engin Ural |

From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky |

Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties
Dipanjan Das | Noah A. Smith |

Unsupervised Dependency Parsing: Let’s Use Supervised Parsers
Phong Le | Willem Zuidema |

Recurrent Neural Network Grammars
Chris Dyer | Adhiguna Kuncoro | Miguel Ballesteros | Noah A. Smith |

Embedding Lexical Features via Low-Rank Tensors
Mo Yu | Mark Dredze | Raman Arora | Matthew R. Gormley |

Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data
Haibo Ding | Ellen Riloff |

Reranking and Self-Training for Parser Adaptation
David McClosky | Eugene Charniak | Mark Johnson |

An All-Subtrees Approach to Unsupervised Parsing
Rens Bod |

Guiding Semi-Supervision with Constraint-Driven Learning
Ming-Wei Chang | Lev Ratinov | Dan Roth |

Fast Unsupervised Incremental Parsing
Yoav Seginer |

Is the End of Supervised Parsing in Sight?
Rens Bod |

Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets
Roi Reichart | Ari Rappoport |

Weakly Supervised Learning for Hedge Classification in Scientific Literature
Ben Medlock | Ted Briscoe |

Improving Parsing and PP Attachment Performance with Sense Information
Eneko Agirre | Timothy Baldwin | David Martinez |

Forest Reranking: Discriminative Parsing with Non-Local Features
Liang Huang |

Simple Semi-supervised Dependency Parsing
Terry Koo | Xavier Carreras | Michael Collins |

Self-Training for Biomedical Parsing
David McClosky | Eugene Charniak |

Exploiting Heterogeneous Treebanks for Parsing
Zheng-Yu Niu | Haifeng Wang | Hua Wu |

Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
Gregory Druck | Gideon Mann | Andrew McCallum |

K-Best A* Parsing
Adam Pauls | Dan Klein |

Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
Ruihong Huang | Ellen Riloff |

Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
Valentin I. Spitkovsky | Daniel Jurafsky | Hiyan Alshawi |

Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization
Shay Cohen | Noah A. Smith |

The Same-Head Heuristic for Coreference
Micha Elsner | Eugene Charniak |

Adapting Self-Training for Semantic Role Labeling
Rasoul Samad Zadeh Kaljahi |

Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser | Roi Reichart | James Clarke | Dan Roth |

Effective Measures of Domain Similarity for Parsing
Barbara Plank | Gertjan van Noord |

HITS-based Seed Selection and Stop List Construction for Bootstrapping
Tetsuo Kiso | Masashi Shimbo | Mamoru Komachi | Yuji Matsumoto |

Semi-supervised Dependency Parsing using Lexical Affinities
Seyed Abolghasem Mirroshandel | Alexis Nasr | Joseph Le Roux |

Parsing with Compositional Vector Grammars
Richard Socher | John Bauer | Christopher D. Manning | Andrew Y. Ng |

Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation
Karthik Visweswariah | Mitesh M. Khapra | Ananthakrishnan Ramanathan |

Iterative Transformation of Annotation Guidelines for Constituency Parsing
Xiang Li | Wenbin Jiang | Yajuan Lü | Qun Liu |

Simpler unsupervised POS tagging with bilingual projections
Long Duong | Paul Cook | Steven Bird | Pavel Pecina |

Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing
Zhenghua Li | Min Zhang | Wenliang Chen |

Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data
Avneesh Saluja | Hany Hassan | Kristina Toutanova | Chris Quirk |

Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
Angeliki Lazaridou | Georgiana Dinu | Marco Baroni |

Structured Training for Neural Network Transition-Based Parsing
David Weiss | Chris Alberti | Michael Collins | Slav Petrov |

Feature Optimization for Constituent Parsing via Neural Networks
Zhiguo Wang | Haitao Mi | Nianwen Xue |

Parsing Paraphrases with Joint Inference
Do Kook Choe | David McClosky |

Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich | Barry Haddow | Alexandra Birch |

Addressing Limited Data for Textual Entailment Across Domains
Chaitanya Shivade | Preethi Raghavan | Siddharth Patwardhan |

Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder | Barbara Plank |

Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Vidur Joshi | Matthew Peters | Mark Hopkins |

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang | Christopher D. Manning |

Improved CCG Parsing with Semi-supervised Supertagging
Mike Lewis | Mark Steedman |

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Yonatan Belinkov | Tao Lei | Regina Barzilay | Amir Globerson |

Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation
Rico Sennrich |

Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu | Yue Zhang |

ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network
Lauritz Brandt | David Grimm | Mengfei Zhou | Yannick Versley |

Reranking for Biomedical Named-Entity Recognition
Kazuhiro Yoshida | Jun’ichi Tsujii |

Using Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy
Gertjan van Noord |

Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training
Jennifer Foster | Joachim Wagner | Djamé Seddah | Josef van Genabith |

Parser-Based Retraining for Domain Adaptation of Probabilistic Generators
Deirdre Hogan | Jennifer Foster | Joachim Wagner | Josef van Genabith |

On Statistical Parsing of French with Supervised and Semi-Supervised Strategies
Marie Candito | Benoit Crabbé | Djamé Seddah |

Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
Kathrin Spreyer | Jonas Kuhn |

Coupling Semi-Supervised Learning of Categories and Relations
Andrew Carlson | Justin Betteridge | Estevam Rafael Hruschka Junior | Tom M. Mitchell |

A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection
Barbara Plank |

Grammar-Driven versus Data-Driven: Which Parsing System Is More Affected by Domain Shifts?
Barbara Plank | Gertjan van Noord |

Exploring Representation-Learning Approaches to Domain Adaptation
Fei Huang | Alexander Yates |

Viterbi Training Improves Unsupervised Dependency Parsing
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning |

Improved Natural Language Learning via Variance-Regularization Support Vector Machines
Shane Bergsma | Dekang Lin | Dale Schuurmans |

Using SVMs with the Command Relation features to identify negated events in biomedical literature
Farzaneh Sarafraz | Goran Nenadic |

Learning to Fuse Disparate Sentences
Micha Elsner | Deepak Santhanam |

Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
Oscar Täckström |

Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model
Raphael Cohen | Yoav Goldberg | Michael Elhadad |

Working with a small dataset - semi-supervised dependency parsing for Irish
Teresa Lynn | Jennifer Foster | Mark Dras |

A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing
Pratik Desai | Amit Sangodkar | Om P. Damani |

Self-Training for Parsing Learner Text
Aoife Cahill | Binod Gyawali | James Bruno |

Parsing Learner Text: to Shoehorn or not to Shoehorn
Aoife Cahill |

Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
Graham Neubig | Makoto Morishita | Satoshi Nakamura |

Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
Jeff Mitchell |

From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario
Héctor Martínez Alonso | Djamé Seddah | Benoît Sagot |

Unsupervised Resolution of Acronyms and Abbreviations in Nursing Notes Using Document-Level Context Models
Katrin Kirchhoff | Anne M. Turner |

Biomolecular Event Extraction using a Stacked Generalization based Classifier
Amit Majumder | Asif Ekbal | Sudip Kumar Naskar |

Unsupervised Domain Adaptation for Clinical Negation Detection
Timothy Miller | Steven Bethard | Hadi Amiri | Guergana Savova |

Latent-Variable PCFGs: Background and Applications
Shay Cohen |

Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu | Bernd Bohnet |

Three-phase training to address data sparsity in Neural Machine Translation
Ruchit Agrawal | Mihir Shekhar | Dipti Sharma |

No URLs Found

Field Of Study

Approach

Unsupervised Learning

Language

English

Dataset

News

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