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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 Hits 1 – 20 of 64 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Dependency Syntax in the Automatic Detection of Irony and Stance Cignarella, Alessandra Teresa. - : Universitat Politècnica de València, 2021 BASE Show details 5 Resources and benchmark corpora for hate speech detection: a systematic review [<Journal>] Poletto, Fabio [Verfasser]; Basile, Valerio [Verfasser]; Sanguinetti, Manuela [Verfasser]. DNB Subject Category Language Show details 6 Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies Sanguinetti, Manuela [Verfasser]; Bosco, Cristina [Verfasser]; Cassidy, Lauren [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 7 Treebanking user-generated content: A proposal for a unified representation in universal dependencies Sanguinetti, Manuela [Verfasser]; Bosco, Cristina [Verfasser]; Cassidy, Lauren [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2020 DNB Subject Category Language Show details 8 Treebanking user-generated content: a proposal for a unified representation in universal dependencies Sanguinetti, Manuela; Bosco, Cristina; Cassidy, Lauren... In: Sanguinetti, Manuela orcid:0000-0002-0147-2208 , Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa orcid:0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir orcid:0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France. (2020) BASE Show details 9 Treebanking user-generated content: a proposal for a unified representation in universal dependencies Sanguinetti, Manuela; Bosco, Cristina; Cassidy, Lauren... In: Sanguinetti, Manuela orcid:0000-0002-0147-2208 , Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa orcid:0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir orcid:0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France. (Virtual). (2020) BASE Show details 10 Multilingual Irony Detection with Dependency Syntax and Neural Models Signarella, Alessandra Teresa; Basile, Valerio; Sanguinetti, Manuela... In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03102480 ; 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (Online), Spain. pp.1346-1358 ; https://www.aclweb.org/anthology/2020.coling-main.116/ (2020) BASE Show details 11 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 12 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 13 Multilingual Irony Detection with Dependency Syntax and Neural Models ... Cignarella, Alessandra Teresa; Basile, Valerio; Sanguinetti, Manuela. - : arXiv, 2020 BASE Show details 14 Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations ... Sanguinetti, Manuela; Cassidy, Lauren; Bosco, Cristina. - : arXiv, 2020 BASE Show details 15 Multilingual Irony Detection with Dependency Syntax and Neural Models ... The 28th International Conference on Computational Linguistics 2020; Basile, Valerio; Benamara, Farah. - : Underline Science Inc., 2020 BASE Show details 16 EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform Patti, Viviana; Basile, Valerio; Bosco, Cristina. - 2020 BASE Show details 17 “Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media Capozzi, Arthur; Lai, Mirko; Basile, Valerio. - 2020 BASE Show details 18 Treebanking user-generated content: A proposal for a unified representation in universal dependencies Sanguinetti, Manuela; Bosco, Cristina; Cassidy, Lauren. - : ELRA, 2020. : IDS, Bibliothek, 2020 BASE Show details 19 Multilingual Stance Detection in Social Media Political Debates Lai, Mirko; Cignarella, Alessandra Teresa; Hernandez-Farias, Delia Irazu; Bosco, Cristina; Patti, Viviana; Rosso, Paolo. - : Elsevier, 2020 Abstract: [EN] Stance Detection is the task of automatically determining whether the author of a text is in favor, against, or neutral towards a given target. In this paper we investigate the portability of tools performing this task across different languages, by analyzing the results achieved by a Stance Detection system (i.e. MultiTACOS) trained and tested in a multilingual setting. First of all, a set of resources on topics related to politics for English, French, Italian, Spanish and Catalan is provided which includes: novel corpora collected for the purpose of this study, and benchmark corpora exploited in Stance Detection tasks and evaluation exercises known in literature. We focus in particular on the novel corpora by describing their development and by comparing them with the benchmarks. Second, MultiTACOS is applied with different sets of features especially designed for Stance Detection, with a specific focus to exploring and combining both features based on the textual content of the tweet (e.g., style and affective load) and features based on contextual information that do not emerge directly from the text. Finally, for better highlighting the contribution of the features that most positively affect system performance in the multilingual setting, a features analysis is provided, together with a qualitative analysis of the misclassified tweets for each of the observed languages, devoted to reflect on the open challenges. ; Cristina Bosco and Viviana Patti are partially supported by Progetto di Ateneo/CSP 2016 (Immigrants, Hate and Prejudice in Social Media, S1618_L2_BOSC_01). The work of Paolo Rosso was partially funded bythe Spanish MICINN under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018096212-B-C31). ; Lai, M.; Cignarella, AT.; Hernandez-Farias, DI.; Bosco, C.; Patti, V.; Rosso, P. (2020). Multilingual Stance Detection in Social Media Political Debates. Computer Speech & Language. 63:1-27. https://doi.org/10.1016/j.csl.2020.101075 ; S ; 1 ; 27 ; 63 ; Balahur, A., & Turchi, M. (2014). Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis. Computer Speech & Language, 28(1), 56-75. doi:10.1016/j.csl.2013.03.004 ; Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. doi:10.1088/1742-5468/2008/10/p10008 ; Boiy, E., & Moens, M.-F. (2008). A machine learning approach to sentiment analysis in multilingual Web texts. Information Retrieval, 12(5), 526-558. doi:10.1007/s10791-008-9070-z ; DellaPosta, D., Shi, Y., & Macy, M. (2015). Why Do Liberals Drink Lattes? American Journal of Sociology, 120(5), 1473-1511. doi:10.1086/681254 ; Küçük, D., Can, F., 2019. A tweet dataset annotated for named entity recognition and stance detection. arXiv preprint arXiv:1901.04787. Available at: https://arxiv.org. ; Mohammad, S. M., & Turney, P. D. (2012). CROWDSOURCING A WORD-EMOTION ASSOCIATION LEXICON. Computational Intelligence, 29(3), 436-465. doi:10.1111/j.1467-8640.2012.00460.x ; Mohammad, S. M., Sobhani, P., & Kiritchenko, S. (2017). Stance and Sentiment in Tweets. ACM Transactions on Internet Technology, 17(3), 1-23. doi:10.1145/3003433 ; Raghavan, U. N., Albert, R., & Kumara, S. (2007). Near linear time algorithm to detect community structures in large-scale networks. Physical Review E, 76(3). doi:10.1103/physreve.76.036106 ; Vychegzhanin, S. V., & Kotelnikov, E. V. (2019). Stance Detection Based on Ensembles of Classifiers. Programming and Computer Software, 45(5), 228-240. doi:10.1134/s0361768819050074 ; West, D. M. (1991). Polling effects in election campaigns. Political Behavior, 13(2), 151-163. doi:10.1007/bf00992294 ; Whissell, C. (2009). Using the Revised Dictionary of Affect in Language to Quantify the Emotional Undertones of Samples of Natural Language. Psychological Reports, 105(2), 509-521. doi:10.2466/pr0.105.2.509-521 ; Zappavigna, M. (2015). Searchable talk: the linguistic functions of hashtags. Social Semiotics, 25(3), 274-291. doi:10.1080/10350330.2014.996948 Keyword: Contextual features; LENGUAJES Y SISTEMAS INFORMATICOS; Multilingual; Political debates; Stance detection; Twitter URL: https://doi.org/10.1016/j.csl.2020.101075 http://hdl.handle.net/10251/166374 BASE Hide details 20 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details Page: 1 2 3 4

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