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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 23 1 Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP Mielke, Sabrina J.; Alyafeai, Zaid; Salesky, Elizabeth... In: https://hal.inria.fr/hal-03540069 ; 2022 (2022) BASE Show details 2 Automatic Normalisation of Early Modern French Bawden, Rachel; Poinhos, Jonathan; Kogkitsidou, Eleni... In: https://hal.inria.fr/hal-03540226 ; 2022 (2022) BASE Show details 3 Towards a Cleaner Document-Oriented Multilingual Crawled Corpus Abadji, Julien; Ortiz Suarez, Pedro; Romary, Laurent... In: https://hal.inria.fr/hal-03536361 ; 2022 (2022) BASE Show details 4 Rethinking Automatic Evaluation in Sentence Simplification Scialom, Thomas; Martin, Louis; Staiano, Jacopo; de la Clergerie, Éric Villemonte; Sagot, Benoît In: https://hal.inria.fr/hal-03199901 ; 2021 (2021) Abstract: Automatic evaluation remains an open research question in Natural Language Generation. In the context of Sentence Simplification, this is particularly challenging: the task requires by nature to replace complex words with simpler ones that shares the same meaning. This limits the effectiveness of n-gram based metrics like BLEU. Going hand in hand with the recent advances in NLG, new metrics have been proposed, such as BERTScore for Machine Translation. In summarization, the QuestEval metric proposes to automatically compare two texts by questioning them. In this paper, we first propose a simple modification of QuestEval allowing it to tackle Sentence Simplification. We then extensively evaluate the correlations w.r.t. human judgement for several metrics including the recent BERTScore and QuestEval, and show that the latter obtain state-of-the-art correlations, outperforming standard metrics like BLEU and SARI. More importantly, we also show that a large part of the correlations are actually spurious for all the metrics. To investigate this phenomenon further, we release a new corpus of evaluated simplifications, this time not generated by systems but instead, written by humans. This allows us to remove the spurious correlations and draw very different conclusions from the original ones, resulting in a better understanding of these metrics. In particular, we raise concerns about very low correlations for most of traditional metrics. Our results show that the only significant measure of the Meaning Preservation is our adaptation of QuestEval. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] URL: https://hal.inria.fr/hal-03199901 BASE Hide details 5 Multilingual Unsupervised Sentence Simplification Martin, Louis; Fan, Angela; de la Clergerie, Éric... In: https://hal.inria.fr/hal-03109299 ; 2021 (2021) BASE Show details 6 First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT Muller, Benjamin; Elazar, Yanai; Sagot, Benoît... In: https://hal.inria.fr/hal-03161685 ; 2021 (2021) BASE Show details 7 Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi Muller, Benjamin; Sagot, Benoît; Seddah, Djamé In: https://hal.inria.fr/hal-03161677 ; 2021 (2021) BASE Show details 8 Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets Caswell, Isaac; Kreutzer, Julia; Wang, Lisa... In: https://hal.inria.fr/hal-03177623 ; 2021 (2021) BASE Show details 9 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering Riabi, Arij; Scialom, Thomas; Keraron, Rachel... In: https://hal.inria.fr/hal-03109187 ; 2021 (2021) BASE Show details 10 Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? ... Riabi, Arij; Sagot, Benoît; Seddah, Djamé. - : arXiv, 2021 BASE Show details 11 First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT ... Muller, Benjamin; Elazar, Yanai; Sagot, Benoît. - : arXiv, 2021 BASE Show details 12 When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Muller, Benjamin; Anastasopoulos, Antonis; Sagot, Benoît... In: https://hal.inria.fr/hal-03109106 ; 2020 (2020) BASE Show details 13 Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi ... Muller, Benjamin; Sagot, Benoit; Seddah, Djamé. - : arXiv, 2020 BASE Show details 14 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ... Riabi, Arij; Scialom, Thomas; Keraron, Rachel. - : arXiv, 2020 BASE Show details 15 When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ... Muller, Benjamin; Anastasopoulos, Antonis; Sagot, Benoît. - : arXiv, 2020 BASE Show details 16 MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases ... Martin, Louis; Fan, Angela; de la Clergerie, Éric. - : arXiv, 2020 BASE Show details 17 ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ... Alva-Manchego, Fernando; Martin, Louis; Bordes, Antoine. - : arXiv, 2020 BASE Show details 18 Controllable Sentence Simplification Martin, Louis; Sagot, Benoît; Villemonte de La Clergerie, Éric... In: https://hal.inria.fr/hal-02445874 ; 2019 (2019) BASE Show details 19 CamemBERT: a Tasty French Language Model Martin, Louis; Muller, Benjamin; Ortiz Suárez, Pedro Javier... In: https://hal.inria.fr/hal-02445946 ; 2019 (2019) BASE Show details 20 Modeling German Verb Argument Structures: LSTMs vs. Humans Rochereau, Charlotte; Sagot, Benoît; Dupoux, Emmanuel In: https://hal.archives-ouvertes.fr/hal-02417640 ; 2019 (2019) BASE Show details Page: 1 2

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