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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 3 4 5 6 7 Hits 21 – 40 of 124 21 MSIR@FIRE: A Comprehensive Report from 2013 to 2016 Banerjee, Somnath; Choudhury, Monojit; Das, Amitava. - : Springer, 2020 BASE Show details 22 Fine-Grained Analysis of Language Varieties and Demographics Rangel, Francisco; Rosso, Paolo; Zaghouani, Wajdi. - : Cambridge University Press, 2020 BASE Show details 23 Multilingual Stance Detection in Social Media Political Debates Lai, Mirko; Cignarella, Alessandra Teresa; Hernandez-Farias, Delia Irazu. - : Elsevier, 2020 BASE Show details 24 Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data? Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo. - : Springer-Verlag, 2020 BASE Show details 25 FacTweet: Profiling Fake News Twitter Accounts Rosso, Paolo; Ponzetto, Simone Paolo; Ghanem, Bilal Hisham Hasan. - : Springer, 2020 BASE Show details 26 Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection Bevendorff, Janek; Ghanem, Bilal Hisham Hasan; Giachanou, Anastasia. - : Springer, 2020 BASE Show details 27 The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers Giachanou, Anastasia; Ríssola, Esteban A.; Ghanem, Bilal. - : Springer, 2020 BASE Show details 28 Scalable and Language-Independent Embedding-based Approach for Plagiarism Detection Considering Obfuscation Type: No Training Phase Gharavi, Erfaneh; Veisi, Hadi; Rosso, Paolo. - : Springer-Verlag, 2020 BASE Show details 29 Introduction to the Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions Rosso, Paolo; Clavel, Chloé; Damiano, Rossana. - : Association for Computing Machinery, 2020 BASE Show details 30 Stance polarity in political debates: A diachronic perspective of network homophily and conversations on Twitter Lai Mirko; Tambuscio Marcella; Patti Viviana. - 2019 BASE Show details 31 IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : CEUR-WS.org, 2019 BASE Show details 32 On the Use of Character n-grams as the only Intrinsic Evidence of Plagiarism Rosso, Paolo; Bensalem, Imene; Chikhi, Salim. - : Springer-Verlag, 2019 BASE Show details 33 Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter Ghanem, Bilal; Montes-y-Gómez, Manuel; Frenda, Simona. - : IOS Press, 2019 BASE Show details 34 On the use of word embedding for cross language plagiarism detection Asghari, Habibollah; Fatemi, Omid; Mohtaj, Salar. - : IOS Press, 2019 BASE Show details 35 Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection Daelemans, Walter; Kestemont, Mike; Manjavacas, Enrique. - : Springer-Verlag, 2019 BASE Show details 36 Improving Attitude Words Classification for Opinion Mining using Word Embedding Ortega-Bueno, Reynier; Medina-Pagola, José E.; Muñiz-Cuza, Carlos Enrique. - : Springer-Verlag, 2019 BASE Show details 37 Classifier combination approach for question classification for Bengali question answering system Banerjee, Somnath; Bndyopadhyay, Sivaji; Rosso, Paolo. - : Springer-Verlag, 2019 BASE Show details 38 A Decade of Shared Tasks in Digital Text Forensics at PAN Potthast, Martin; Rosso, Paolo; Stamatatos, Efstathios. - : Springer-Verlag, 2019 BASE Show details 39 Paraphrase Plagiarism Identifcation with Character-level Features Stamatatos, Efstathios; Rosso, Paolo; Sánchez-Vega, Fernando. - : Springer-Verlag, 2019 BASE Show details 40 A Low Dimensionality Representation for Language Variety Identification Rangel-Pardo, Francisco Manuel; Franco-Salvador, Marc; Rosso, Paolo. - : Springer-Verlag, 2018 Abstract: [EN] Language variety identification aims at labelling texts in a native language (e.g. Spanish, Portuguese, English) with its specific variation (e.g. Argentina, Chile, Mexico, Peru, Spain; Brazil, Portugal; UK, US). In this work we propose a low dimensionality representation (LDR) to address this task with five different varieties of Spanish: Argentina, Chile, Mexico, Peru and Spain. We compare our LDR method with common state-of-the-art representations and show an increase in accuracy of ~35%. Furthermore, we compare LDR with two reference distributed representation models. Experimental results show competitive performance while dramatically reducing the dimensionality¿and increasing the big data suitability¿to only 6 features per variety. Additionally, we analyse the behaviour of the employed machine learning algorithms and the most discriminating features. Finally, we employ an alternative dataset to test the robustness of our low dimensionality representation with another set of similar languages. ; The work of the first author was in the framework of ECOPORTUNITY IPT-2012-1220-430000. The work of the last two authors was in the framework of the SomEMBED MINECO TIN2015-71147-C2-1-P research project. This work has been also supported by the SomEMBED TIN2015-71147-C2-1-P MINECO research project and by the Generalitat Valenciana under the grant ALMAPATER (PrometeoII/2014/030). ; Rangel-Pardo, FM.; Franco-Salvador, M.; Rosso, P. (2018). A Low Dimensionality Representation for Language Variety Identification. Lecture Notes in Computer Science. 9624:156-169. https://doi.org/10.1007/978-3-319-75487-1_13 ; S ; 156 ; 169 ; 9624 ; Franco-Salvador, M., Rangel, F., Rosso, P., Taulé, M., Antònia Martít, M.: Language variety identification using distributed representations of words and documents. In: Mothe, J., Savoy, J., Kamps, J., Pinel-Sauvagnat, K., Jones, G.J.F., SanJuan, E., Cappellato, L., Ferro, N. (eds.) CLEF 2015. LNCS, vol. 9283, pp. 28–40. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24027-5_3 ; Goodman, J.: Classes for fast maximum entropy training. In: Proceedings of the Acoustics, Speech, and Signal Processing (ICASSP 2001), vol. 1, pp. 561–564 (2001) ; Gutmann, M.U., Hyvärinen, A.: Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. J. Mach. Learn. Res. 13, 307–361 (2012) ; Hinton, G.E., Mcclelland, J.L., Rumelhart, D.E.: Distributed Representations, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Foundations, vol. 1. MIT Press, Cambridge (1986) ; Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on Machine Learning (ICML 2014), vol. 32 (2014) ; Maier, W., Gómez-Rodríguez, C.: Language variety identification in Spanish tweets. In: Workshop on Language Technology for Closely Related Languages and Language Variants (EMNLP 2014), pp. 25–35 (2014) ; Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of Workshop at International Conference on Learning Representations (ICLR 2013) (2013) ; Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111–3119 (2013) ; Mnih, A., Teh, Y.W.: A fast and simple algorithm for training neural probabilistic language models. In: Proceedings of the 29th International Conference on Machine Learning (ICML 2012), pp. 1751–1758 (2012) ; Sadat, F., Kazemi, F., Farzindar, A.: Automatic identification of Arabic language varieties and dialects in social media. In: 1st International Workshop on Social Media Retrieval and Analysis (SoMeRa 2014) (2014) ; Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inf. Process. Manag. 24(5), 513–523 (1988) ; Tan, L., Zampieri, M., Ljubešic, N., Tiedemann, J.: Merging comparable data sources for the discrimination of similar languages: the DSL corpus collection. In: 7th Workshop on Building and Using Comparable Corpora Building Resources for Machine Translation Research (BUCC 2014), pp. 6–10 (2014) ; Zampieri, M., Gebrekidan-Gebre, B.: Automatic identification of language varieties: the case of Portuguese. In: Proceedings of the 11th Conference on Natural Language Processing (KONVENS 2012), pp. 233–237 (2012) ; Zampieri, M., Tan, L., Ljubeši, N., Tiedemann, J.: A report on the DSL shared task 2014. In: Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects (VarDial 2014), pp. 58–67 (2014) Keyword: Author profiling; Big data; Language variety identification; LENGUAJES Y SISTEMAS INFORMATICOS; Low dimensionality representation; Similar languages discrimination; Social media URL: http://hdl.handle.net/10251/146184 https://doi.org/10.1007/978-3-319-75487-1_13 BASE Hide details Page: 1 2 3 4 5 6 7

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