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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 Hits 1 – 11 of 11 1 Rethinking Automatic Evaluation in Sentence Simplification Scialom, Thomas; Martin, Louis; Staiano, Jacopo... In: https://hal.inria.fr/hal-03199901 ; 2021 (2021) BASE Show details 2 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 3 QuestEval: Summarization Asks for Fact-based Evaluation Scialom, Thomas; Dray, Paul-Alexis; Gallinari, Patrick... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.sorbonne-universite.fr/hal-03541895 ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana (en ligne), Dominican Republic. pp.6594-6604, ⟨10.18653/v1/2021.emnlp-main.529⟩ ; https://2021.emnlp.org/ (2021) BASE Show details 4 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jacopo; Keraron, Rachel. - : Underline Science Inc., 2021 BASE Show details 5 MLSUM: The Multilingual Summarization Corpus Scialom, Thomas; Dray, Paul-Alexis; Lamprier, Sylvain... In: https://hal.sorbonne-universite.fr/hal-02989017 ; 2020 (2020) BASE Show details 6 MLSUM: The Multilingual Summarization Corpus Scialom, Thomas; Dray, Paul-Alexis; Lamprier, Sylvain... In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.sorbonne-universite.fr/hal-03364407 ; 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Online, France. pp.8051-8067, ⟨10.18653/v1/2020.emnlp-main.647⟩ (2020) BASE Show details 7 MLSUM: The Multilingual Summarization Corpus ... Scialom, Thomas; Dray, Paul-Alexis; Lamprier, Sylvain. - : arXiv, 2020 BASE Show details 8 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ... Riabi, Arij; Scialom, Thomas; Keraron, Rachel. - : arXiv, 2020 BASE Show details 9 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Scialom, Thomas; Lamprier, Sylvain; Piwowarski, Benjamin; Staiano, Jacopo In: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.sorbonne-universite.fr/hal-02350999 ; 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, China. pp.3237-3247, ⟨10.18653/v1/D19-1320⟩ (2019) Abstract: International audience ; Abstractive summarization approaches based on Reinforcement Learning (RL) have recently been proposed to overcome classical likelihood maximization. RL enables to consider complex, possibly non differentiable, metrics that globally assess the quality and relevance of the generated outputs. ROUGE, the most used summarization metric, is known to suffer from bias towards lexical similarity as well as from sub-optimal accounting for fluency and readability of the generated abstracts. We thus explore and propose alternative evaluation measures: the reported human-evaluation analysis shows that the proposed metrics, based on Question Answering, favorably compare to ROUGE – with the additional property of not requiring reference summaries. Training a RL-based model on these metrics leads to improvements (both in terms of human or automated metrics) over current approaches that use ROUGE as reward. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing URL: https://hal.sorbonne-universite.fr/hal-02350999 https://hal.sorbonne-universite.fr/hal-02350999/file/D19-1320.pdf https://hal.sorbonne-universite.fr/hal-02350999/document https://doi.org/10.18653/v1/D19-1320 BASE Hide details 10 Self-Attention Architectures for Answer-Agnostic Neural Question Generation Scialom, Thomas; Piwowarski, Benjamin; Staiano, Jacopo In: ACL 2019 - Annual Meeting of the Association for Computational Linguistics ; https://hal.sorbonne-universite.fr/hal-02350993 ; ACL 2019 - Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy. pp.6027-6032, ⟨10.18653/v1/P19-1604⟩ (2019) BASE Show details 11 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models ... Scialom, Thomas; Lamprier, Sylvain; Piwowarski, Benjamin. - : arXiv, 2019 BASE Show details

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