NLPExplorer

Maxime Peyrard

Number of Papers:- 24

Number of Citations:- 31

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

EMNLP

Findings

LREC

Eval4NLP

ACL

EACL

IJCNLP

LSDSem

Co-Authors:-

Similar Authors:-

REFINER: Reasoning Feedback on Intermediate Representations EACL

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL

Language Model Decoding as Likelihood–Utility Alignment F i n d i n g s - E A C L

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning EMNLP

Saibo Geng | Martin Josifoski | Maxime Peyrard | Robert West |

Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction EMNLP

Martin Josifoski | Marija Sakota | Maxime Peyrard | Robert West |

The Glass Ceiling of Automatic Evaluation in Natural Language Generation F i n d i n g s - I J C N L P

GenIE: Generative Information Extraction NAACL

Invariant Language Modeling EMNLP

Better than Average: Paired Evaluation of NLP systems ACL IJCNLP

Maxime Peyrard | Wei Zhao | Steffen Eger | Robert West |

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL

KLearn: Background Knowledge Inference from Summarization Data EMNLP Findings

Maxime Peyrard | Robert West |

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems EMNLP Eval4NLP

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance EMNLP

A Simple Theoretical Model of Importance for Summarization ACL

Maxime Peyrard |

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range ACL

Maxime Peyrard |

Live Blog Corpus for Summarization LREC

Avinesh P.V.S. | Maxime Peyrard | Christian M. Meyer |

Objective Function Learning to Match Human Judgements for Optimization-Based Summarization NAACL

Maxime Peyrard | Iryna Gurevych |

Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization ACL

Maxime Peyrard | Judith Eckle-Kohler |

A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments ACL

Maxime Peyrard | Judith Eckle-Kohler |

LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test LSDSem WS

Learning to Score System Summaries for Better Content Selection Evaluation. WS

Maxime Peyrard | Teresa Botschen | Iryna Gurevych |

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING

Maxime Peyrard | Judith Eckle-Kohler |

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach COLING

Markus Zopf | Maxime Peyrard | Judith Eckle-Kohler |

Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization ACL

Maxime Peyrard | Judith Eckle-Kohler |