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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 – 14 of 14 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 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 5 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 6 MLSUM: The Multilingual Summarization Corpus ... Scialom, Thomas; Dray, Paul-Alexis; Lamprier, Sylvain. - : arXiv, 2020 BASE Show details 7 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ... Riabi, Arij; Scialom, Thomas; Keraron, Rachel. - : arXiv, 2020 BASE Show details 8 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Scialom, Thomas; Lamprier, Sylvain; Piwowarski, Benjamin... 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) BASE Show details 9 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 10 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models ... Scialom, Thomas; Lamprier, Sylvain; Piwowarski, Benjamin. - : arXiv, 2019 BASE Show details 11 DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ... Araque, Oscar; Gatti, Lorenzo; Staiano, Jacopo. - : arXiv, 2018 BASE Show details 12 Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ... Mansar, Youness; Gatti, Lorenzo; Ferradans, Sira. - : arXiv, 2017 BASE Show details 13 Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality ... Guerini, Marco; Staiano, Jacopo. - : arXiv, 2015 BASE Show details 14 DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News ... Staiano, Jacopo; Guerini, Marco. - : arXiv, 2014 Abstract: While many lexica annotated with words polarity are available for sentiment analysis, very few tackle the harder task of emotion analysis and are usually quite limited in coverage. In this paper, we present a novel approach for extracting - in a totally automated way - a high-coverage and high-precision lexicon of roughly 37 thousand terms annotated with emotion scores, called DepecheMood. Our approach exploits in an original way 'crowd-sourced' affective annotation implicitly provided by readers of news articles from rappler.com. By providing new state-of-the-art performances in unsupervised settings for regression and classification tasks, even using a na\"ıve approach, our experiments show the beneficial impact of harvesting social media data for affective lexicon building. ... : To appear at ACL 2014. 7 pages ... Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences URL: https://arxiv.org/abs/1405.1605 https://dx.doi.org/10.48550/arxiv.1405.1605 BASE Hide details

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