NLPExplorer

Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models

Amarnag Subramanya | Slav Petrov | Fernando Pereira |

Paper Details:

Month: October
Year: 2010
Location: Cambridge, MA
Venue: EMNLP |
SIG: SIGDAT

Citations

URL

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
Alexander Rush | Roi Reichart | Michael Collins | Amir Globerson |

Online Updating of Word Representations for Part-of-Speech Tagging
Wenpeng Yin | Tobias Schnabel | Hinrich Schütze |

Scientific Information Extraction with Semi-supervised Neural Tagging
Yi Luan | Mari Ostendorf | Hannaneh Hajishirzi |

Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen | Qingming Tang | Karen Livescu | Kevin Gimpel |

Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging
Meishan Zhang | Yue Zhang | Wanxiang Che | Ting Liu |

Distant Supervision for Relation Extraction beyond the Sentence Boundary
Chris Quirk | Hoifung Poon |

Graph Based Semi-Supervised Learning Approach for Tamil POS tagging
Mokanarangan Thayaparan | Surangika Ranathunga | Uthayasanker Thayasivam |

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

Learning a Part-of-Speech Tagger from Two Hours of Annotation
Dan Garrette | Jason Baldridge |

Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
Sonal Gupta | Christopher D. Manning |

Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
Dipanjan Das | Slav Petrov |

Semi-Supervised Frame-Semantic Parsing for Unknown Predicates
Dipanjan Das | Noah A. Smith |

Bootstrapping via Graph Propagation
Max Whitney | Anoop Sarkar |

Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
Dan Garrette | Jason Mielens | Jason Baldridge |

Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Xiaodong Zeng | Derek F. Wong | Lidia S. Chao | Isabel Trancoso |

Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression
Asli Celikyilmaz | Dilek Hakkani-Tur | Gokhan Tur | Ruhi Sarikaya |

High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning
Akiko Eriguchi | Ichiro Kobayashi |

FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging
Tobias Schnabel | Hinrich Schütze |

Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data
Mohammad Aliannejadi | Masoud Kiaeeha | Shahram Khadivi | Saeed Shiry Ghidary |

Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
Luheng He | Jennifer Gillenwater | Ben Taskar |

Parser Adaptation to the Biomedical Domain without Re-Training
Jeff Mitchell | Mark Steedman |

Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model
Aaron Li-Feng Han | Xiaodong Zeng | Derek F. Wong | Lidia S. Chao |

http://bioie.ldc.upenn.edu/

Field Of Study

Task

Tagging Biomedical

Approach

Structured Prediction Graphical Model Semi-supervised Learning

Language

English

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