NLPExplorer

Minimum Risk Training for Neural Machine Translation

Paper Details:

Month: August
Year: 2016
Location: Berlin, Germany
Venue: ACL |

Citations

URL

Interactive Attention for Neural Machine Translation
Fandong Meng | Zhengdong Lu | Hang Li | Qun Liu |

Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov | Simon Clematide |

Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches
Shaohui Kuang | Deyi Xiong | Weihua Luo | Guodong Zhou |

Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman | Alexander M. Rush |

Exploiting Source-side Monolingual Data in Neural Machine Translation
Jiajun Zhang | Chengqing Zong |

Training with Exploration Improves a Greedy Stack LSTM Parser
Miguel Ballesteros | Yoav Goldberg | Chris Dyer | Noah A. Smith |

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
Liang Huang | Kai Zhao | Mingbo Ma |

A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Yun Chen | Victor O.K. Li | Kyunghyun Cho | Samuel Bowman |

Large Margin Neural Language Model
Jiaji Huang | Yi Li | Wei Ping | Liang Huang |

Imitation Learning for Neural Morphological String Transduction
Peter Makarov | Simon Clematide |

Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Yilin Yang | Liang Huang | Mingbo Ma |

CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
Semih Yavuz | Chung-Cheng Chiu | Patrick Nguyen | Yonghui Wu |

Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
Chenze Shao | Xilin Chen | Yang Feng |

Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Minh Lê | Antske Fokkens |

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models
Sheng Zhang | Kevin Duh | Benjamin Van Durme |

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki | Masaaki Nagata |

Boosting Neural Machine Translation
Dakun Zhang | Jungi Kim | Josep Crego | Jean Senellart |

Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi | Matt Post | Benjamin Van Durme |

Chinese Poetry Generation with a Salient-Clue Mechanism
Xiaoyuan Yi | Ruoyu Li | Maosong Sun |

UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
Peter Makarov | Simon Clematide |

Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan | Shay B. Cohen | Mirella Lapata |

Can Neural Machine Translation be Improved with User Feedback?
Julia Kreutzer | Shahram Khadivi | Evgeny Matusov | Stefan Riezler |

Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu | Zhengdong Lu | Hang Li | Victor O.K. Li |

Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou | Nan Yang | Furu Wei | Ming Zhou |

Visualizing and Understanding Neural Machine Translation
Yanzhuo Ding | Yang Liu | Huanbo Luan | Maosong Sun |

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Julia Kreutzer | Artem Sokolov | Stefan Riezler |

Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation
Jinchao Zhang | Mingxuan Wang | Qun Liu | Jie Zhou |

A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Yun Chen | Yang Liu | Yong Cheng | Victor O.K. Li |

Neural System Combination for Machine Translation
Long Zhou | Wenpeng Hu | Jiajun Zhang | Chengqing Zong |

Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary
Xing Shi | Kevin Knight |

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Julia Kreutzer | Joshua Uyheng | Stefan Riezler |

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried | Dan Klein |

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
Lucia Specia | Stella Frank | Khalil Sima’an | Desmond Elliott |

Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016
Graham Neubig |

University of Rochester WMT 2017 NMT System Submission
Chester Holtz | Chuyang Ke | Daniel Gildea |

Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
Chris Hokamp |

Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
Kenji Imamura | Atsushi Fujita | Eiichiro Sumita |

Correcting Length Bias in Neural Machine Translation
Kenton Murray | David Chiang |

Findings of the WMT 2018 Shared Task on Automatic Post-Editing
Rajen Chatterjee | Matteo Negri | Raphael Rubino | Marco Turchi |

Multi-source transformer with combined losses for automatic post editing
Amirhossein Tebbifakhr | Ruchit Agrawal | Matteo Negri | Marco Turchi |

No URLs Found

Field Of Study

Task

Summarization Machine Translation

Approach

Deep Learning

Language

Chinese English French

Dataset

News

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