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HateBERT: Retraining BERT for Abusive Language Detection in English ...
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2
We Need to Consider Disagreement in Evaluation
Basile, Valerio; Fell, Michael; Fornaciari, Tommaso. - : Association for Computational Linguistics, 2021. : country:USA, 2021. : place:Stroudsburg, PA, 2021
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3
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
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4
Multilingual Irony Detection with Dependency Syntax and Neural Models
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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5
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol 8 No 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
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Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 8 No. 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
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7
Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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8
Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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9
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language
Koufakou, Anna; Pamungkas, Endang Wahyu; Basile, Valerio. - : Association for Computational Linguistics, 2020. : country:USA, 2020. : place:209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA, 2020
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10
EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform
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11
“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
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12
Exploring the association between problem drinking and language use on Facebook in young adults
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13
The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization
Mazzei, Alessandro; Basile Valerio. - : Association for Computational Linguistics, 2019. : country:USA, 2019. : place:Stroudsburg, 2019
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14
SemEval 2018 Task 2: Multilingual Emoji Prediction
Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco. - : The Association for Computational Linguistics, 2018
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15
The DipInfo-UniTo system for SRST 2018
Basile Valerio, Mazzei, Alessandro. - : Association for Computational Linguistics, 2018. : country:USA, 2018. : place:Philadelphia, 2018
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16
Hurtlex: A multilingual lexicon of words to hurt
Patti, Viviana; Basile, Valerio; Bassignana, Elisa. - : CEUR-WS, 2018. : country:DEU, 2018. : place:Aachen, 2018
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17
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
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18
14-ExLab@UniTo for AMI at IberEval2018: Exploiting lexical knowledge for detecting misogyny in English and Spanish tweets
Pamungkas, Endang Wahyu; Cignarella, Alessandra Teresa; Basile, Valerio. - : CEUR-WS, 2018. : country:DEU, 2018. : place:Aachen, 2018
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19
Neural Surface Realization for Italian
Basile Valerio; Mazzei Alessandro. - : CEUR, 2018. : country:DEU, 2018. : place:Berlin, 2018
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20
Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges
Abstract: Sentiment analysis in social media is a popular task attracting the interest of the research community, also in recent evaluation campaigns of natural language processing tasks in sev- eral languages. We report on our experience in the organization of SENTIPOLC (SENTIment POLarity Classification Task), a shared task on sentiment classification of Italian tweets, proposed for the first time in 2014 within the Evalita evaluation campaign. We present the datasets – which include an enriched annotation scheme for dealing with the impact of figurative language on polarity – the evaluation methodology, and discuss the approaches and results of participating systems. We also offer a reflection on the open challenges of state-of-the-art systems for sentiment analysis of microblogging in Italian, as they emerge from a qualitative analysis of misclassified tweets. Finally, we provide an evaluation of the resources we have created, and share the lessons learned by running this task for two consecutive editions.
Keyword: Evaluation; Irony Detection; Sentiment Analysis; Social Media Analysis
URL: http://hdl.handle.net/2318/1684800
https://doi.org/10.1109/TAFFC.2018.2884015
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369
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