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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 – 5 of 5 1 Learning to Solve NLP Tasks in an Incremental Number of Languages ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; BASILI, Roberto; Castellucci, Giuseppe. - : Underline Science Inc., 2021 BASE Show details 2 Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges Basile, Valerio; Novielli, Nicole; Croce, Danilo. - 2018 BASE Show details 3 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 4 Overview of the Evalita 2016 Sentiment Polarity Classification Task Barbieri, Francesco; Basile, Valerio; Croce, Danilo; Nissim, Malvina; Novielli, Nicole; Patti, Viviana. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016 Abstract: The SENTIment POLarity Classification Task 2016 (SENTIPOLC), is a rerun of the shared task on sentiment classification at the message level on Italian tweets proposed for the first time in 2014 for the Evalita evaluation campaign. It includes three subtasks: subjectivity classification, polarity classification, and irony detection. In 2016 SENTIPOLC has been again the most participated EVALITA task with a total of 57 submitted runs from 13 different teams. We present the datasets – which includes an enriched annotation scheme for dealing with the impact on polarity of a figurative use of language – the evaluation methodology, and discuss results and participating systems. Keyword: Evaluation campaign; Irony Detection; Natural Language Processing; Sentiment analysis; Twitter URL: http://ceur-ws.org/Vol-1749/paper_026.pdf http://hdl.handle.net/2318/1644412 BASE Hide details 5 Towards open-domain semantic role labeling Croce, Danilo; Giannone, Cristina; Annesi, Paolo... In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 237-246 BLLDB Show details

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