Results 1 to 10 of about 1,145,906 (216)
Illocutionary Disagreement in Faultless Disagreement [PDF]
Organon F, 2021 The debates over the problem of faultless disagreement have played a major role in shaping the landscape of today’s semantic theories. In my paper, I argue that even though the existent contextualism-friendly proposals explain a lot of disagreement data ...
Natalia Karczewska
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Minimizing Polarization and Disagreement in Social Networks [PDF]
The Web Conference, 2017 The rise of social media and online social networks has been a disruptive force in society. Opinions are increasingly shaped by interactions on online social media, and social phenomena including disagreement and polarization are now tightly woven into ...
Musco, Cameron +2 more
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European Journal of Analytic Philosophy, 2022 Our main question in this paper is as follow: (Q) What are the epistemic norms governing our responses in the face of disagreement? In order to answer it, we begin with some clarification. First, following McHugh (2012), if we employ a useful distinction
Domingos Faria
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When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Though majority vote among annotators is typically used for ground truth labels in natural language processing, annotator disagreement in tasks such as hate speech detection may reflect differences in opinion across groups, not noise.
Eve Fleisig, Rediet Abebe, D. Klein
semanticscholar +1 more source
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information [PDF]
AAAI Conference on Artificial Intelligence, 2023 In NLP annotation, it is common to have multiple annotators label the text and then obtain the ground truth labels based on major annotators’ agreement. However, annotators are individuals with different backgrounds and various voices.
Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
semanticscholar +1 more source
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 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.
Elisa Leonardelli +4 more
semanticscholar +1 more source
Mathematics, 2023 This paper studies the predictability of implied volatility indices of stocks using financial reports tone disagreement from U.S. firms. For this purpose, we build a novel measure of tone disagreement based on financial report tone synchronization of U.S.
Nicolas S. Magner +3 more
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Fundamental Disagreement [PDF]
SSRN Electronic Journal, 2014 Parallel Sessions E: Uncertainty and Disagreement in Economic ...
P. Andrade +3 more
openaire +3 more sources
Why Don’t You Do It Right? Analysing Annotators’ Disagreement in Subjective Tasks
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Annotators’ disagreement in linguistic data has been recently the focus of multiple initiatives aimed at raising awareness on issues related to ‘majority voting’ when aggregating diverging annotations. Disagreement can indeed reflect different aspects of
Marta Sandri +3 more
semanticscholar +1 more source
Investigating Reasons for Disagreement in Natural Language Inference [PDF]
Transactions of the Association for Computational Linguistics, 2022 We investigate how disagreement in natural language inference (NLI) annotation arises. We developed a taxonomy of disagreement sources with 10 categories spanning 3 high- level classes.
Nan Jiang, M. Marneffe
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