NLPExplorer

How well does active learning actually work? Time-based evaluation of cost-reduction strategies for language documentation.

Jason Baldridge | Alexis Palmer |

Month: August
Year: 2009
Location: Singapore
Venue: EMNLP |
SIG: SIGDAT

Bringing Active Learning to Life
Ines Rehbein | Josef Ruppenhofer | Alexis Palmer |

Active Learning with Amazon Mechanical Turk
Florian Laws | Christian Scheible | Hinrich Schütze |

APLenty: annotation tool for creating high-quality datasets using active and proactive learning
Minh-Quoc Nghiem | Sophia Ananiadou |

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

What I’ve learned about annotating informal text (and why you shouldn’t take my word for it)
Nathan Schneider |

Automatic Glossing in a Low-Resource Setting for Language Documentation
Sarah Moeller | Mans Hulden |

Tagging

Multilingual English Spanish

Sentiment after Translation: A Case-Study on Arabic Social Media Posts

Mohammad Salameh | Saif Mohammad | Svetlana Kiritchenko |

Natural Language Processing for Dialectical Arabic: A Survey

Abdulhadi Shoufan | Sumaya Alameri |

Semi-supervised Structured Prediction with Neural CRF Autoencoder

A Survey of Arabic Named Entity Recognition and Classification

Khaled Shaalan |