NLPExplorer

Compound Embedding Features for Semi-supervised Learning

Month: June
Year: 2013
Location: Atlanta, Georgia
Venue: NAACL |

Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu |

Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu |

Neural Networks for Open Domain Targeted Sentiment
Meishan Zhang | Yue Zhang | Duy-Tin Vo |

Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang | Yue Zhang |

Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer
Eunsuk Yang | Young-Bum Kim | Ruhi Sarikaya | Yu-Seop Kim |

K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu | D. Stott Parker |

Word Embeddings as Features for Supervised Coreference Resolution
Iliana Simova | Hans Uszkoreit |

Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk Roberts |

Syntax

Machine Translation

English

News

A Survey of Arabic Named Entity Recognition and Classification

Khaled Shaalan |

Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP

Edoardo Maria Ponti | Roi Reichart | Anna Korhonen | Ivan Vulić |

Knowledge-Rich Morphological Priors for Bayesian Language Models

Victor Chahuneau | Noah A. Smith | Chris Dyer |

A Comparative Study of Minimally Supervised Morphological Segmentation