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Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets
Roi Reichart
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Ari Rappoport
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
ACL |
Citations
URL
Learning Reliable Information for Dependency Parsing Adaptation
Wenliang Chen
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Youzheng Wu
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Hitoshi Isahara
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When is Self-Training Effective for Parsing?
David McClosky
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Eugene Charniak
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Mark Johnson
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A Multi-Domain Web-Based Algorithm for POS Tagging of Unknown Words
Shulamit Umansky-Pesin
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Roi Reichart
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Ari Rappoport
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Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information
Xipeng Qiu
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ChaoChao Huang
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Xuanjing Huang
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Selection Bias, Label Bias, and Bias in Ground Truth
Anders Søgaard
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Barbara Plank
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Dirk Hovy
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Sprucing up the trees – Error detection in treebanks
Ines Rehbein
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Josef Ruppenhofer
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Self-Training PCFG Grammars with Latent Annotations Across Languages
Zhongqiang Huang
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Mary Harper
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Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
Alexander Rush
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Roi Reichart
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Michael Collins
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Amir Globerson
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Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
Yftah Ziser
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Roi Reichart
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Self-training a Constituency Parser using n-gram Trees
Arda Çelebi
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Arzucan Özgür
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Heterogeneous Transfer Learning for Image Clustering via the SocialWeb
Qiang Yang
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Yuqiang Chen
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Gui-Rong Xue
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Wenyuan Dai
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Yong Yu
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Exploiting Heterogeneous Treebanks for Parsing
Zheng-Yu Niu
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Haifeng Wang
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Hua Wu
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Cross Language Dependency Parsing using a Bilingual Lexicon
Hai Zhao
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Yan Song
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Chunyu Kit
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Guodong Zhou
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Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser
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Roi Reichart
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James Clarke
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Dan Roth
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Partial Parsing from Bitext Projections
Prashanth Mannem
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Aswarth Dara
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Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data
Xuezhe Ma
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Fei Xia
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Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
Angeliki Lazaridou
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Georgiana Dinu
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Marco Baroni
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Demographic Factors Improve Classification Performance
Dirk Hovy
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Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder
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Barbara Plank
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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Vidur Joshi
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Matthew Peters
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Mark Hopkins
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A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection
Barbara Plank
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ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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Unsupervised Linguistically-Driven Reliable Dependency Parses Detection and Self-Training for Adaptation to the Biomedical Domain
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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Working with a small dataset - semi-supervised dependency parsing for Irish
Teresa Lynn
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Jennifer Foster
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Mark Dras
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Self-Training for Parsing Learner Text
Aoife Cahill
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Binod Gyawali
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James Bruno
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Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu
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Bernd Bohnet
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http://www.cis.upenn.edu.bikel
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