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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 – 17 of 17 1 Multilingual Unsupervised Sentence Simplification Martin, Louis; Fan, Angela; de la Clergerie, Éric... In: https://hal.inria.fr/hal-03109299 ; 2021 (2021) BASE Show details 2 Controllable Sentence Simplification Martin, Louis; Villemonte de La Clergerie, Éric; Sagot, Benoît... In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02678214 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org/proceedings/lrec2020/index.html (2020) BASE Show details 3 ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations Alva-Manchego, Fernando; Martin, Louis; Bordes, Antoine; Scarton, Carolina; Sagot, Benoît; Specia, Lucia In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889823 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020) Abstract: International audience ; In order to simplify a sentence, human editors perform multiple rewriting transformations: they split it into several shorter sentences , paraphrase words (i.e. replacing complex words or phrases by simpler synonyms), reorder components, and/or delete information deemed unnecessary. Despite these varied range of possible text alterations, current models for automatic sentence simplification are evaluated using datasets that are focused on a single transformation, such as lexical paraphrasing or splitting. This makes it impossible to understand the ability of simplification models in more realistic settings. To alleviate this limitation, this paper introduces ASSET, a new dataset for assessing sentence simplification in English. ASSET is a crowdsourced multi-reference corpus where each simplification was produced by executing several rewriting transformations. Through quantitative and qualitative experiments, we show that simplifications in ASSET are better at capturing characteristics of simplicity when compared to other standard evaluation datasets for the task. Furthermore, we motivate the need for developing better methods for automatic evaluation using ASSET, since we show that current popular metrics may not be suitable when multiple simplification transformations are performed. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] URL: https://hal.inria.fr/hal-02889823/file/ACL_2020___ASSET__A_Dataset_for_Tuning_and_Evaluation___.pdf https://hal.inria.fr/hal-02889823 https://hal.inria.fr/hal-02889823/document BASE Hide details 4 Augmenting Transformers with KNN-Based Composite Memory for Dialog Fan, Angela; Gardent, Claire; Braud, Chloé... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02999678 ; Transactions of the Association for Computational Linguistics, The MIT Press, In press, ⟨10.1162/tacl_a_00356⟩ ; https://transacl.org/index.php/tacl (2020) BASE Show details 5 MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases ... Martin, Louis; Fan, Angela; de la Clergerie, Éric. - : arXiv, 2020 BASE Show details 6 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 7 ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations Alva Manchego, Fernando; Martin, Louis; Bordes, Antoine. - : ACL, 2020 BASE Show details 8 Controllable Sentence Simplification Martin, Louis; Sagot, Benoît; Villemonte de La Clergerie, Éric... In: https://hal.inria.fr/hal-02445874 ; 2019 (2019) BASE Show details 9 Controllable Sentence Simplification ... Martin, Louis; Sagot, Benoît; de la Clergerie, Éric. - : arXiv, 2019 BASE Show details 10 Reference-less Quality Estimation of Text Simplification Systems Martin, Louis; Humeau, Samuel; Mazaré, Pierre-Emmanuel... In: 1st Workshop on Automatic Text Adaptation (ATA) ; https://hal.inria.fr/hal-01959054 ; 1st Workshop on Automatic Text Adaptation (ATA), Nov 2018, Tilburg, Netherlands ; https://www.ida.liu.se/~evere22/ATA-18/ (2018) BASE Show details 11 Fader Networks: Manipulating Images by Sliding Attributes Lample, Guillaume; Zeghidour, Neil; Usunier, Nicolas... In: 31st Conference on Neural Information Processing Systems (NIPS 2017) ; https://hal.archives-ouvertes.fr/hal-02275215 ; 31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 (2017) BASE Show details 12 Extracting biomedical events from pairs of text entities Liu, Xiao; Bordes, Antoine; Grandvalet, Yves In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01313324 ; BMC Bioinformatics, BioMed Central, 2015, 16 (Suppl 10), pp.S8. ⟨10.1186/1471-2105-16-S10-S8⟩ ; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-16-S10-S8 (2015) BASE Show details 13 Open Question Answering with Weakly Supervised Embedding Models Bordes, Antoine; Weston, Jason; Usunier, Nicolas In: European Conference (ECML PKDD 2014) ; https://hal.archives-ouvertes.fr/hal-01344007 ; European Conference (ECML PKDD 2014), Sep 2014, nancy, France. pp.165-180, ⟨10.1007/978-3-662-44848-9_11⟩ (2014) BASE Show details 14 Fast recursive multi-class classification of pairs of text entities for biomedical event extraction Liu, Xiao; Bordes, Antoine; Grandvalet, Yves In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01060830 ; Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2014, Gothenburg, Sweden. pp.692--701 (2014) BASE Show details 15 Open Question Answering with Weakly Supervised Embedding Models ... Bordes, Antoine; Weston, Jason; Usunier, Nicolas. - : arXiv, 2014 BASE Show details 16 Towards Understanding Situated Natural Language Bordes, Antoine; Usunier, Nicolas; Collobert, Ronan... In: 13th International Conference on Artificial Intelligence and Statistics ; https://hal.archives-ouvertes.fr/hal-00750937 ; 13th International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna Resort, Sardinia, Italy. pp.65-72 (2010) BASE Show details 17 Extracting biomedical events from pairs of text entities Xiao, Liu; Bordes, Antoine; Grandvalet, Yves In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01278279 ; BMC Bioinformatics, BioMed Central, 2005, 16 (Suppl 10), pp.S8. ⟨10.1186/1471-2105-16-S10-S8⟩ ; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-16-S10-S8 (2005) BASE Show details

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