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TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels ...
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What's Kooking? Characterizing India's Emerging Social Network, Koo ...
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When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia ...
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Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media ...
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Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT ...
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The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic ...
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A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach ...
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Multilingual, Temporal and Sentimental Distant-Reading of City Events ...
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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media ...
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Land use identification through social network interaction ...
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Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter ...
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Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control ...
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A map of Digital Humanities research across bibliographic data sources ...
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ОЦЕНКА ЭФФЕКТИВНОСТИ ИНТЕГРАЦИИ СОЦИАЛЬНЫХ СЕТЕЙ В ПРОЦЕСС ИЗУЧЕНИЯ ИНОСТРАННЫХ ЯЗЫКОВ ... : ASSESSMENT OF EFFICIENCY OF INTEGRATION OF SOCIAL NETWORKS IN THE PROCESS OF LEARNING FOREIGN LANGUAGES ...
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ВЛИЯНИЕ РАЗВИТИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ НА АНГЛИЙСКИЙ ЯЗЫК ... : THE IMPACT OF INFORMATION TECHNOLOGY ON ENGLISH LANGUAGE ...
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HYPERTEXT AS A RESULT OF SEMANTIC COMPRESSION IN THE TEXTS OF WEB 2.0 ... : ГИПЕРТЕКСТ КАК РЕЗУЛЬТАТ СЕМАНТИЧЕСКОГО СЖАТИЯ В ТЕКСТАХ WEB 2.0 ...
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