Maxime Peyrard
Maxime Peyrard
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
W Zhao, M Peyrard, F Liu, Y Gao, CM Meyer, S Eger
arXiv preprint arXiv:1909.02622, 2019
Concatenated -mean Word Embeddings as Universal Cross-Lingual Sentence Representations
A Rücklé, S Eger, M Peyrard, I Gurevych
arXiv preprint arXiv:1803.01400, 2018
A simple theoretical model of importance for summarization
M Peyrard
arXiv preprint arXiv:1801.08991, 2018
Learning to Score System Summaries for Better Content Selection Evaluation.
M Peyrard, T Botschen, I Gurevych
Proceedings of the Workshop on New Frontiers in Summarization, 74-84, 2017
On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
W Zhao, G Glavaš, M Peyrard, Y Gao, R West, S Eger
arXiv preprint arXiv:2005.01196, 2020
Studying summarization evaluation metrics in the appropriate scoring range
M Peyrard
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
M Peyrard, J Eckle-Kohler
Proceedings of the 26th International Conference on Computational …, 2016
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
M Peyrard, J Eckle-Kohler
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
The next step for multi-document summarization: A heterogeneous multi-genre corpus built with a novel construction approach
M Zopf, M Peyrard, J Eckle-Kohler
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Optimizing an approximation of rouge-a problem-reduction approach to extractive multi-document summarization
M Peyrard, J Eckle-Kohler
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis.
MH Ribeiro, K Gligoric, M Peyrard, F Lemmerich, M Strohmaier, R West
ICWSM, 208-219, 2021
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
M Peyrard, I Gurevych
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
LSDSem 2017: Exploring data generation methods for the story cloze test
M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, MT Martín-Valdivia, ...
Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017
Better than average: Paired evaluation of NLP systems
M Peyrard, W Zhao, S Eger, R West
arXiv preprint arXiv:2110.10746, 2021
A principled framework for evaluating summarizers: Comparing models of summary quality against human judgments
M Peyrard, J Eckle-Kohler
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Live blog corpus for summarization
PVS Avinesh, M Peyrard, CM Meyer
Proceedings of the Eleventh International Conference on Language Resources …, 2018
GenIE: generative information extraction
M Josifoski, N De Cao, M Peyrard, R West
arXiv preprint arXiv:2112.08340, 2021
Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis
K Gligorić, MH Ribeiro, M Müller, O Altunina, M Peyrard, M Salathé, ...
arXiv preprint arXiv:2008.08364, 2020
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
M Peyrard, B Borges, K Gligorić, R West
arXiv preprint arXiv:2105.09142, 2021
Invariant language modeling
M Peyrard, SS Ghotra, M Josifoski, V Agarwal, B Patra, D Carignan, ...
arXiv preprint arXiv:2110.08413, 2021
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