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Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
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In: Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021) ; https://hal.inria.fr/hal-03527328 ; Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021), Jan 2022, punta cana, Dominican Republic ; https://aclanthology.org/2021.wnut-1.47/ (2022)
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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ...
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Abstract:
We present three models used to describe the recruitment of the undecided population by pro-vax and no-vax factions. Starting from real-world data of Facebook pages, we compare three opinion dynamics models that catch different behaviours of the undecided population. The first one is a variation of the SIS model, where undecided position is considered indifferent. Neutrals can be "infected" by one of the two extreme factions, joining their side, and they "recover" when they lose interest in the debate and go back to neutrality. The second model is a three parties Voters model: neutral pages represent a centrist position. They lean their original ideas, that are different from both the other parties. The last is the Bilingual model adapted to the vaccination debate: neutral individuals are in agreement with both pro-, ad anti-vax factions, with a position of compromise between the extremes ("bilingualism''). If they have a one-sided neighbourhood, the convenience to agree with both parties comes out, and ...
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Keyword:
FOS Computer and information sciences; FOS Physical sciences; Physics and Society physics.soc-ph; Social and Information Networks cs.SI
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URL: https://arxiv.org/abs/2201.08822
https://dx.doi.org/10.48550/arxiv.2201.08822
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The Online Behaviour of the Algerian Abusers in Social Media Networks ...
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Discussion Networks and Resilience of College Students: Explicating Tie Strength in Communicative Interaction
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In: International Journal of Communication; Vol 16 (2022); 25 ; 1932-8036 (2022)
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“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks
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In: International Journal of Communication; Vol 16 (2022); 22 ; 1932-8036 (2022)
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Conceptual structure and the growth of scientific knowledge ...
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INNOVATIVE APPROACHES AND METHODS IN TEACHING FOREIGN LANGUAGES ...
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INNOVATIVE APPROACHES AND METHODS IN TEACHING FOREIGN LANGUAGES ...
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Multilingual Abusiveness Identification on Code-Mixed Social Media Text ...
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| 11 |
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ...
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Discovering Affinity Relationships between Personality Types ...
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| 14 |
Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation ...
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| 16 |
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations ...
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Feature-rich multiplex lexical networks reveal mental strategies of early language learning ...
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| 18 |
It Takes a Village: Using Network Science to Identify the Effect of Individual Differences in Bilingual Experience for Theory of Mind
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In: Brain Sciences; Volume 12; Issue 4; Pages: 487 (2022)
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| 19 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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| 20 |
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
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In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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