NLPExplorer

Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing

David Mareček | Milan Straka |

Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue: ACL |

Combining Supervised and Unsupervised Parsing for Distributional Similarity
Martin Riedl | Irina Alles | Chris Biemann |

Quantifying training challenges of dependency parsers
Lauriane Aufrant | Guillaume Wisniewski | François Yvon |

Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky |

Density-Driven Cross-Lingual Transfer of Dependency Parsers
Mohammad Sadegh Rasooli | Michael Collins |

Dependency Grammar Induction with Neural Lexicalization and Big Training Data
Wenjuan Han | Yong Jiang | Kewei Tu |

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

Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization
Xuezhe Ma | Fei Xia |

Parse Imputation for Dependency Annotations
Jason Mielens | Liang Sun | Jason Baldridge |

Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction
Yonatan Bisk | Julia Hockenmaier |

Surface Statistics of an Unknown Language Indicate How to Parse It
Dingquan Wang | Jason Eisner |

Merged bilingual trees based on Universal Dependencies in Machine Translation
David Mareček |

Tagging

Generative Model

Chinese English Japanese Spanish French Arabic

Enriching Word Vectors with Subword Information

Piotr Bojanowski | Edouard Grave | Armand Joulin | Tomas Mikolov |

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 |