NLPExplorer

Maximum Expected F-Measure Training of Logistic Regression Models

Martin Jansche |

Month: October
Year: 2005
Location: Vancouver, British Columbia, Canada
Venue: EMNLP | HLT |
SIG: SIGDAT

Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Bonan Min | Marjorie Freedman | Talya Meltzer |

Multi-label Text Categorization with Model Combination based on F1-score Maximization
Akinori Fujino | Hideki Isozaki | Jun Suzuki |

Learning to Exploit Structured Resources for Lexical Inference
Vered Shwartz | Omer Levy | Ido Dagan | Jacob Goldberger |

Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
Kevin Gimpel | Noah A. Smith |

Training Conditional Random Fields with Multivariate Evaluation Measures
Jun Suzuki | Erik McDermott | Hideki Isozaki |

A Maximum Expected Utility Framework for Binary Sequence Labeling
Martin Jansche |

The impact of language models and loss functions on repair disfluency detection
Simon Zwarts | Mark Johnson |

Recognizing Implied Predicate-Argument Relationships in Textual Inference
Asher Stern | Ido Dagan |

Adaptive Scaling for Sparse Detection in Information Extraction
Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun |

No URLs Found

Information Extraction Information Retrieval Summarization Machine Translation

English

News

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 |