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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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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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| 5 |
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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| 7 |
Chess AI: Competing Paradigms for Machine Intelligence
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In: Entropy; Volume 24; Issue 4; Pages: 550 (2022)
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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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Abstract:
With the prevalence of mental health problems on college campuses, resilience has emerged as a meaningful concept for understanding students’ well-being. Having strong ties to capitalize on is theorized as predicting resilient functioning. Yet the precise forms of strong ties, particularly manifested in communicative relations, is underexamined. Joining network and communication theoretical perspectives, this study disentangles how indicators of tie strength are associated with resilience. Analysis of 599 students’ personal networks shows that, beyond mental health and indicators of tie strength in the static network, how students activate communication ties (i.e., frequency of communication and diversity of topics discussed) explained two intrapersonal resilience dimensions: perceptions of future and social competence. In addition, substantive topics discussed had varying effects on the four resilience dimensions examined. Implications for integrating recent theorizing on networks in practice into traditional network perspectives (i.e., emphasizing network structure), and practical suggestions for understanding college students’ resilience, are presented.
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Keyword:
core discussion networks; personal networks; resilience; social network analysis; tie strength
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URL: https://ijoc.org/index.php/ijoc/article/view/18675
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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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| 10 |
Singing voice separation using waveform-level deep neural networks ... : Διαχωρισμός Φωνητικών χρησιμοποιώντας Βαθιά Νευρωνικά Δίκτυα σε Επίπεδο Κυματομορφών ...
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| 11 |
Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ...
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| 12 |
Conceptual structure and the growth of scientific knowledge ...
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INNOVATIVE APPROACHES AND METHODS IN TEACHING FOREIGN LANGUAGES ...
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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INNOVATIVE APPROACHES AND METHODS IN TEACHING FOREIGN LANGUAGES ...
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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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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