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Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ...
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Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.822/ Abstract: Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media. While several approaches have been proposed to tackle the problem from an algorithmic perspective, so to reduce the need for annotated data, less attention has been paid to the quality of these data. Following a trend that has emerged recently, we focus on the level of agreement among annotators while selecting data to create offensive language datasets, a task involving a high level of subjectivity. Our study comprises the creation of three novel datasets of English tweets covering different topics and having five crowd-sourced judgments each. We also present an extensive set of experiments showing that selecting training and test data according to different levels of annotators' agreement has a strong effect on classifiers performance and ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://underline.io/lecture/37766-agreeing-to-disagree-annotating-offensive-language-datasets-with-annotators'-disagreement https://dx.doi.org/10.48448/w49c-2969
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Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ...
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FrameNet-like Annotation of Olfactory Information in Texts ...
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Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ...
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A Smell is Worth a Thousand Words: Olfactory Information Extraction and Semantic Processing in a Multilingual Perspective (Invited Talk) ...
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Tonelli, Sara. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection
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In: EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02972203 ; EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing, Nov 2020, Virtual, France (2020)
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A Multilingual Evaluation for Online Hate Speech Detection
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In: ISSN: 1533-5399 ; ACM Transactions on Internet Technology ; https://hal.archives-ouvertes.fr/hal-02972184 ; ACM Transactions on Internet Technology, Association for Computing Machinery, 2020, 20 (2), pp.1-22. ⟨10.1145/3377323⟩ (2020)
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Creating a Multimodal Dataset of Images and Text to Study Abusive Language ...
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Cross-Platform Evaluation for Italian Hate Speech Detection
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In: CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02381152 ; CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics, Nov 2019, Bari, Italy (2019)
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Enhancing statistical machine translation with bilingual terminology in a CAT environment
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The impact of phrases on Italian lexical simplification ...
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The impact of phrases on Italian lexical simplification ...
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Never Retreat, Never Retract: Argumentation Analysis for Political Speeches
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In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-01876442 ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States. pp.4889-4896 ; https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16393 (2018)
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InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural Networks
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In: http://hw.oeaw.ac.at/8435-5 (2018)
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