NLPExplorer

An Information-Theoretic Approach to Automatic Evaluation of Summaries

Chin-Yew Lin | Guihong Cao | Jianfeng Gao | Jian-Yun Nie |

Month: June
Year: 2006
Location: New York City, USA
Venue: HLT | NAACL |

Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning
Yanran Li | Sujian Li |

Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews
Wenting Xiong | Diane Litman |

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
Maxime Peyrard | Judith Eckle-Kohler |

Automatically Evaluating Content Selection in Summarization without Human Models
Annie Louis | Ani Nenkova |

Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach
Tengfei Ma | Hiroshi Nakagawa |

CBSEAS, a Summarization System – Integration of Opinion Mining Techniques to Summarize Blogs
Aurélien Bossard | Michel Généreux | Thierry Poibeau |

Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis | Ani Nenkova |

Exploring Content Models for Multi-Document Summarization
Aria Haghighi | Lucy Vanderwende |

Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard | Iryna Gurevych |

Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave | Yulan He | Ruifeng Xu |

A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization
Jiwei Li | Sujian Li |

Vector Space Models for Scientific Document Summarization
John Conroy | Sashka Davis |

Learning to Score System Summaries for Better Content Selection Evaluation.
Maxime Peyrard | Teresa Botschen | Iryna Gurevych |

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