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Maxime Peyrard
Number of Papers:- 17
Number of Citations:- 31
First ACL Paper:- 2016
Latest ACL Paper:- 2022
Venues:-
NAACL
IJCNLP
LREC
ACL
LSDSem
WS
Findings
COLING
EMNLP
Eval4NLP
Co-Authors:-
Andreas Ruckle
Avinesh P V S1
Christian M Meyer
Daniil Sorokin
Eduard Hovy
Similar Authors:-
Ray Damore
Nahum Gershon
Yoshiharu Abe
Rod Holland
Penny Chase
2022
2021
2020
2019
2018
2017
2016
GenIE: Generative Information Extraction
NAACL
Martin Josifoski |
Nicola De Cao |
Maxime Peyrard |
Fabio Petroni |
Robert West |
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
Wei Zhao |
Goran Glavaš |
Maxime Peyrard |
Yang Gao |
Robert West |
Steffen Eger |
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
Steffen Eger |
Yang Gao |
Maxime Peyrard |
Wei Zhao |
Eduard Hovy |
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
EMNLP
Wei Zhao |
Maxime Peyrard |
Fei Liu |
Yang Gao |
Christian M. Meyer |
Steffen Eger |
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
Michael Bugert |
Yevgeniy Puzikov |
Andreas Rücklé |
Judith Eckle-Kohler |
Teresa Martin |
Eugenio Martínez-Cámara |
Daniil Sorokin |
Maxime Peyrard |
Iryna Gurevych |
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 |
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