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 | 203 | 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 | 97 | 2018 |
A simple theoretical model of importance for summarization M Peyrard arXiv preprint arXiv:1801.08991, 2018 | 57 | 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 | 46 | 2017 |
Studying summarization evaluation metrics in the appropriate scoring range M Peyrard Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 33 | 2019 |
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 | 31 | 2020 |
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 | 29 | 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 | 28 | 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 | 26 | 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 | 24 | 2016 |
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 | 19 | 2018 |
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 | 14* | 2021 |
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 | 12 | 2017 |
Better than average: Paired evaluation of NLP systems M Peyrard, W Zhao, S Eger, R West arXiv preprint arXiv:2110.10746, 2021 | 10 | 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 | 10 | 2017 |
Live blog corpus for summarization PVS Avinesh, M Peyrard, CM Meyer Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 9 | 2018 |
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 | 5 | 2020 |
GenIE: generative information extraction M Josifoski, N De Cao, M Peyrard, R West arXiv preprint arXiv:2112.08340, 2021 | 4 | 2021 |
Principled Approaches to Automatic Text Summarization M Peyrard Technische Universität, 2019 | 4 | 2019 |
Invariant language modeling M Peyrard, SS Ghotra, M Josifoski, V Agarwal, B Patra, D Carignan, ... arXiv preprint arXiv:2110.08413, 2021 | 3 | 2021 |