Efficient Methods for Natural Language Processing: A Survey TACL

Marcos Treviso | Ji-Ung Lee | Tianchu Ji | Betty van Aken | Qingqing Cao | Manuel R. Ciosici | Michael Hassid | Kenneth Heafield | Sara Hooker | Colin Raffel | Pedro H. Martins | André F. T. Martins | Jessica Zosa Forde | Peter Milder | Edwin Simpson | Noam Slonim | Jesse Dodge | Emma Strubell | Niranjan Balasubramanian | Leon Derczynski | Iryna Gurevych | Roy Schwartz |

Improving Factual Consistency Between a Response and Persona Facts EACL

Mohsen Mesgar | Edwin Simpson | Iryna Gurevych |

Aggregating and Learning from Multiple Annotators EACL

Silviu Paun | Edwin Simpson |

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing ACL IJCNLP InterNLP

Kianté Brantley | Soham Dan | Iryna Gurevych | Ji-Ung Lee | Filip Radlinski | Hinrich Schütze | Edwin Simpson | Lili Yu |

A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning ACL IJCNLP InterNLP

Yuxuan Ye | Edwin Simpson |

SemEval-2021 Task 12: Learning with Disagreements ACL IJCNLP SemEval

Alexandra Uma | Tommaso Fornaciari | Anca Dumitrache | Tristan Miller | Jon Chamberlain | Barbara Plank | Edwin Simpson | Massimo Poesio |

Interactive Text Ranking with Bayesian Optimization: A Case Study on Community QA and Summarization TACL

Edwin Simpson | Yang Gao | Iryna Gurevych |

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems NAACL

Steffen Eger | Gözde Gül Şahin | Andreas Rücklé | Ji-Ung Lee | Claudia Schulz | Mohsen Mesgar | Krishnkant Swarnkar | Edwin Simpson | Iryna Gurevych |

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL

Edwin Simpson | Erik-Lân Do Dinh | Tristan Miller | Iryna Gurevych |

Finding Convincing Arguments Using Scalable Bayesian Preference Learning TACL

Edwin Simpson | Iryna Gurevych |