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Number of items: 13.

Zhao, Wei ; Glava\v, Goran ; Peyrard, Maxime ; Gao, Yang ; West, Robert ; Eger, Steffen (2020):
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation.
ACL'20: 58th Annual Meeting of the Association for Computational Linguistics, virtual Conference, 05.-10.07, [Conference or Workshop Item]

Peyrard, Maxime (2019):
Principled Approaches to Automatic Text Summarization.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Zhao, Wei ; Peyrard, Maxime ; Liu, Fei ; Gao, Yang ; Meyer, Christian M. ; Eger, Steffen (2019):
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.11.2019-07.11.2019, [Conference or Workshop Item]

Peyrard, Maxime ; Gurevych, Iryna (2018):
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization.
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 654-660,
Association for Computational Linguistics, New Orleans, USA, June 2018, [Conference or Workshop Item]

P. V. S., Avinesh ; Peyrard, Maxime ; Meyer, Christian M. (2018):
Live Blog Corpus for Summarization.
In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pp. 3197-3203,
European Language Resources Association, Miyazaki, Japan, [Conference or Workshop Item]

Rücklé, Andreas ; Eger, Steffen ; Peyrard, Maxime ; Gurevych, Iryna (2018):
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.
In: arXiv:1803.01400, [Article]

Peyrard, Maxime ; Botschen, Teresa ; Gurevych, Iryna (2017):
Learning to Score System Summaries for Better Content Selection Evaluation.
In: Proceedings of the EMNLP workshop "New Frontiers in Summarization", pp. 74-84,
Association for Computational Linguistics, Copenhagen, Denmark, September 2017, [Conference or Workshop Item]

Peyrard, Maxime ; Eckle-Kohler, Judith (2017):
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments.
Volume 2: Short Papers, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp. 26-31,
Association for Computational Linguistics, Vancouver, Canada, July 2017, DOI: 10.18653/v1/P17-1100,
[Conference or Workshop Item]

Peyrard, Maxime ; Eckle-Kohler, Judith (2017):
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization.
Volume 1: Long Papers, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp. 1084-1094,
Association for Computational Linguistics, Vancouver, Canada, July 2017, [Conference or Workshop Item]

Bugert, Michael ; Puzikov, Yevgeniy ; Rücklé, Andreas ; Eckle-Kohler, Judith ; Martin, Teresa ; Martínez Cámara, Eugenio ; Sorokin, Daniil ; Peyrard, Maxime ; Gurevych, Iryna (2017):
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.
In: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, pp. 56-61,
Association for Computational Linguistics, The 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, Valencia, Spain, 03.04.2017--04.04.2017, ISBN 978-1-945626-40-1,
[Conference or Workshop Item]

Peyrard, Maxime ; Eckle-Kohler, Judith (2016):
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence.
In: Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 247-257,
The COLING 2016 Organizing Committee, Osaka, Japan, December 2016, [Conference or Workshop Item]

Zopf, Markus ; Peyrard, Maxime ; Eckle-Kohler, Judith (2016):
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach.
In: Proceedings of the 26th International Conference on Computational Linguistics, pp. 1535-1545,
The COLING 2016 Organizing Committee, Osaka, Japan, [Conference or Workshop Item]

Peyrard, Maxime ; Eckle-Kohler, Judith (2016):
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization.
Volume 1: Long Papers, In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 1825-1836,
Association for Computational Linguistics, Berlin, Germany, August 2016, DOI: 10.18653/v1/P16-1172,
[Conference or Workshop Item]

This list was generated on Sat Oct 23 07:30:05 2021 CEST.