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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...43 44 45 46 47 48 49 50 51...54 Hits 921 – 940 of 1.080 921 Annotating argumentation in Swedish social media ... The 28th International Conference on Computational Linguistics 2020; Lindahl, Anna. - : Underline Science Inc., 2020 BASE Show details 922 Use of Claim Graphing and Argumentation Schemes in Biomedical Literature: A Manual Approach to Analysis ... The 28th International Conference on Computational Linguistics 2020; Mercer, Robert; Moser, Eli. - : Underline Science Inc., 2020 BASE Show details 923 Exploring Morality in Argumentation ... The 28th International Conference on Computational Linguistics 2020; Hulpuș, Ioana; Kobbe, Jonathan. - : Underline Science Inc., 2020 BASE Show details 924 Regularized graph convolutional networks for short text classification ... The 28th International Conference on Computational Linguistics 2020; Agarwal, Saurabh; Jia, Xiaowei. - : Underline Science Inc., 2020 BASE Show details 925 DebateSum: A large-scale argument mining and summarization dataset ... The 28th International Conference on Computational Linguistics 2020; Balaji, Arvind; Roush, Allen. - : Underline Science Inc., 2020 BASE Show details 926 ECHR: Legal Corpus for Argument Mining ... The 28th International Conference on Computational Linguistics 2020; Gonccalves, Teresa; Ieven, Aagje. - : Underline Science Inc., 2020 BASE Show details 927 A Large Scale Tweet Dataset for Urdu Text Sentiment Analysis ... Batra, Rakhi. - : Mendeley, 2020 BASE Show details 928 A Large Scale Tweet Dataset for Urdu Text Sentiment Analysis ... Batra, Rakhi. - : Mendeley, 2020 BASE Show details 929 Prerequisites for Extracting Entity Relations from Swedish Texts Lenas, Erik. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 BASE Show details 930 Abstractive Document Summarization in High and Low Resource Settings Nikolov, Nikola I.. - : ETH Zurich, 2020 BASE Show details 931 Semi-Supervised Cleansing of Web Argument Corpora ... The 28th International Conference on Computational Linguistics 2020; Dorsch, Jonas; Wachsmuth, Henning. - : Underline Science Inc., 2020 BASE Show details 932 Style Analysis of Argumentative Texts by Mining Rhetorical Devices ... The 28th International Conference on Computational Linguistics 2020; Khatib, Khalid; Morari, viorel. - : Underline Science Inc., 2020 BASE Show details 933 Disease2Vec: a method of determining disease from gut microbiome using neural embeddings CHANDRASEKHAR, VASANTH. - 2020 BASE Show details 934 NLQ INTO SQL TRANSLATION USING COMPUTATIONAL LINGUISTICS Kedwan, Ftoon. - 2020 BASE Show details 935 Demo Application for the AutoGOAL Framework Almeida-Cruz, Yudivian; Montoyo, Andres; Muñoz, Rafael. - : Association for Computational Linguistics, 2020 BASE Show details 936 Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing Estévez-Velarde, Suilan; Gutiérrez, Yoan; Almeida-Cruz, Yudivian. - : Association for Computational Linguistics, 2020 BASE Show details 937 The Disinformation Battle: Linguistics and Artificial Intelligence Join to Beat it ; La Batalla de la Desinformación: la Lingüística y la Inteligencia Artificial se Unen para Vencerla Bonet-Jover, Alba. - : CEUR, 2020 Abstract: At present, the era of digitalisation has led to the era of disinformation by witnessing a peak of the spreading of fake news that are disseminated in order to get profit. Like everything, fake news has an Achilles' heel and it could be language. The linguistic structure as well as the expression of emotions through language could be key in detecting deception. The modelling of a language of deception typical of fake news and its later automation through machine learning would allow to take a further step towards the fight against disinformation. ; En la actualidad, la era de la digitalización ha dado paso a la era de la desinformación, presenciando así un auge en la viralización de noticias falsas que son difundidas con el fin de obtener un beneficio. Al igual que todo, las noticias falsas tienen un talón de Aquiles y este podría ser el lenguaje. La estructura lingüística utilizada así como la expresión de las emociones a través del lenguaje podrían ser clave en la detección de la mentira. La modelización de un lenguaje de la mentira propio de las noticias falsas y su posterior automatización mediante aprendizaje automático permitiría dar un paso más en la lucha contra la desinformación. ; This research work has been partially funded by Generalitat Valenciana through project “SIIA: Tecnologías del lenguaje humano para una sociedad inclusiva, igualitaria, y accesible” with grant reference PROMETEU/2018/089, by the Spanish Government through project RTI2018-094653-BC22: “Modelang: Modeling the behavior of digital entities by Human Language Technologies”, as well as being partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER) and the LIVING-LANG project (RTI2018-094653-BC21) from the Spanish Government. Keyword: Aprendizaje Automático; Fake News; Human Language Technologies; Lenguajes y Sistemas Informáticos; Linguistic modelling; Machine Learning; Modelización lingüística; Natural Language Processing; Procesamiento del Lenguaje Natural; Tecnologías del Lenguaje Humano URL: http://hdl.handle.net/10045/112998 BASE Hide details 938 Methods for morphology learning in low(er)-resource scenarios Bergmanis, Toms. - : The University of Edinburgh, 2020 BASE Show details 939 The Informativeness of Text, the Deep Learning Approach Huang, Allen; Wang, Hui; Yang, Yi. - 2020 BASE Show details 940 Automatic Analysis of Language Use in K-16 STEM Education and Impact on Student Performance Nadeem, Farah. - 2020 BASE Show details Page: 1...43 44 45 46 47 48 49 50 51...54

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