NLPExplorer

Learning with Annotation Noise

Eyal Beigman | Beata Beigman Klebanov |

Paper Details:

Month: August
Year: 2009
Location: Suntec, Singapore
Venue: ACL | IJCNLP |

Citations

URL

Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks.
Emily Jamison | Iryna Gurevych |

Learning part-of-speech taggers with inter-annotator agreement loss
Barbara Plank | Dirk Hovy | Anders Søgaard |

Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset
Beata Beigman Klebanov | Eyal Beigman |

Detecting Emails Containing Requests for Action
Andrew Lampert | Robert Dale | Cecile Paris |

Automated Essay Scoring in the Presence of Biased Ratings
Evelin Amorim | Marcia Cançado | Adriano Veloso |

Difficult Cases: From Data to Learning, and Back
Beata Beigman Klebanov | Eyal Beigman |

Detecting annotation noise in automatically labelled data
Ines Rehbein | Josef Ruppenhofer |

To Annotate More Accurately or to Annotate More
Dmitriy Dligach | Rodney Nielsen | Martha Palmer |

Short Answer Assessment: Establishing Links Between Research Strands
Ramon Ziai | Niels Ott | Detmar Meurers |

Using exemplar responses for training and evaluating automated speech scoring systems
Anastassia Loukina | Klaus Zechner | James Bruno | Beata Beigman Klebanov |

Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
Michael A. Hedderich | Dietrich Klakow |

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Field Of Study

Language

English

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