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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 – 18 of 18 1 XLM-T: A Multilingual Language Model Toolkit for Twitter ... Barbieri, Francesco; Anke, Luis Espinosa; Camacho-Collados, Jose. - : arXiv, 2021 BASE Show details 2 Learning Cross-Lingual Word Embeddings from Twitter via Distant Supervision Barbieri, Francesco; Doval, Yerai; Martínez-Cámara, Eugenio... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 72-82 ; 2334-0770 ; 2162-3449 (2020) BASE Show details 3 Learning cross-lingual word embeddings from Twitter via distant supervision Camacho Collados, Jose; Doval, Yerai; Martínez-Cámara, Eugenio. - : Association for the Advancement of Artificial Intelligence, 2020 BASE Show details 4 SemEval 2018 Task 2: Multilingual Emoji Prediction Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco; Espinosa Anke, Luis; Ballesteros, Miguel; Basile, Valerio; Patti, Viviana; Saggion, Horacio. - : The Association for Computational Linguistics, 2018 Abstract: This paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used along such tweet. Two subtasks were proposed, one for English and one for Spanish, and participants were allowed to submit a system run to one or both subtasks. In total, 49 teams participated in the English subtask and 22 teams submitted a system run to the Spanish subtask. Evaluation was carried out emoji-wise, and the final ranking was based on macro F-Score. Data and further information about this task can be found at https://competitions. codalab.org/competitions/17344. URL: https://doi.org/10.18653/v1/S18-1003 http://orca.cf.ac.uk/114048/ BASE Hide details 5 How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter Barbieri, Francesco; Camacho-Collados, Jose. - : The Association for Computational Linguistics, 2018 BASE Show details 6 Overview of the Evalita 2018 Italian Emoji Prediction (ITAmoji) Task Ronzano, Francesco; Barbieri, Francesco; Wahyu Pamungkas, Endang. - : CEUR-WS, 2018. : country:DEU, 2018. : place:Aachen, 2018 BASE Show details 7 SemEval 2018 Task 2: Multilingual Emoji Prediction Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco. - : Association for Computational Linguistics, 2018. : country:USA, 2018. : place:Stroudsburg, PA, 2018 BASE Show details 8 Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges Basile, Valerio; Novielli, Nicole; Croce, Danilo. - 2018 BASE Show details 9 Overview of the Evalita 2016 SENTIment POLarity Classification Task Barbieri, Francesco; Basile, Valerio; Croce, Danilo... In: Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016) ; https://hal.inria.fr/hal-01414731 ; Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy (2016) BASE Show details 10 Overview of the Evalita 2016 Sentiment Polarity Classification Task Barbieri, Francesco; Basile, Valerio; Croce, Danilo. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016 BASE Show details 11 Is This Tweet Satirical? A Computational Approach for Satire Detection in Spanish ; ¿Es satírico este tweet? Un método automático para la identificación del lenguaje satírico en español Barbieri, Francesco; Ronzano, Francesco; Saggion, Horacio. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2015 BASE Show details 12 How gender and skin tone modifiers affect emoji semantics in Twitter Barbieri, Francesco; Camacho-Collados, Jose. - : ACL (Association for Computational Linguistics) BASE Show details 13 How gender and skin tone modifiers affect emoji semantics in Twitter Barbieri, Francesco; Camacho-Collados, Jose. - : ACL (Association for Computational Linguistics) BASE Show details 14 SemEval 2018 Task 2: multilingual emoji prediction Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco. - : ACL (Association for Computational Linguistics) BASE Show details 15 Are emojis predictable? Ballesteros, Miguel; Barbieri, Francesco; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details 16 Interpretable emoji prediction via label-wise attention LSTMs Espinosa-Anke, Luis; Camacho-Collados, Jose; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details 17 Multimodal emoji prediction Ronzano, Francesco; Barbieri, Francesco; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details 18 Towards the understanding of gaming audiences by modeling Twitch emotes Ballesteros, Miguel; Barbieri, Francesco; Saggion, Horacio. - : ACL (Association for Computational Linguistics) BASE Show details

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