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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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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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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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Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation ...
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Abstract:
Adoption of cultural innovation (e.g., music, beliefs, language) is often geographically correlated, with adopters largely residing within the boundaries of relatively few well-studied, socially significant areas. These cultural regions are often hypothesized to be the result of either (i) identity performance driving the adoption of cultural innovation, or (ii) homophily in the networks underlying diffusion. In this study, we show that demographic identity and network topology are both required to model the diffusion of innovation, as they play complementary roles in producing its spatial properties. We develop an agent-based model of cultural adoption, and validate geographic patterns of transmission in our model against a novel dataset of innovative words that we identify from a 10% sample of Twitter. Using our model, we are able to directly compare a combined network + identity model of diffusion to simulated network-only and identity-only counterfactuals -- allowing us to test the separate and combined ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; FOS Physical sciences; J.4; I.6.3; K.4; Physics and Society physics.soc-ph; Social and Information Networks cs.SI
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URL: https://arxiv.org/abs/2202.04842 https://dx.doi.org/10.48550/arxiv.2202.04842
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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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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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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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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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