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Treebanking user-generated content: a proposal for a unified representation in universal dependencies
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Sanguinetti, Manuela; Bosco, Cristina; Cassidy, Lauren; Çetinoglu, Özlem; Cignarella, Alessandra Teresa; Lynn, Teresa; Rehbein, Ines; Ruppenhofer, Josef; Seddah, Djamé; Zeldes, Amir
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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)
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Abstract:
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework. Given on the one hand the increasing number of treebanks featuring user-generated content, and its somewhat inconsistent treatment in these resources on the other, the aim of this paper is twofold: (1) to provide a short, though comprehensive, overview of such treebanks - based on available literature - along with their main features and a comparative analysis of their annotation criteria, and (2) to propose a set of tentative UD-based annotation guidelines, to promote consistent treatment of the particular phenomena found in these types of texts. The main goal of this paper is to provide a common framework for those teams interested in developing similar resources in UD, thus enabling cross-linguistic consistency, which is a principle that has always been in the spirit of UD.
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Keyword:
Artificial intelligence; Irish language; Linguistics; Machine learning
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URL: http://doras.dcu.ie/24477/
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Treebanking user-generated content: a proposal for a unified representation in universal dependencies
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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)
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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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)
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Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations ...
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Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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Content Selection for Explanation Requests in Customer-Care Domain
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Anselma Luca, Di Lascio Mirko, Mana, Dario, Mazzei Alessandro, Sanguinetti, Manuela. - : Association for Computational Linguistics, 2020. : country:USA, 2020. : place:Stroudsburg, PA, 2020
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“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
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Treebanking user-generated content: A proposal for a unified representation in universal dependencies
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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