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Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets.

, and . Baltic HLT, volume 328 of Frontiers in Artificial Intelligence and Applications, page 55-61. IOS Press, (2020)

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UNER: Universal Named-Entity Recognition Framework., , , , and . CLEOPATRA@ESWC, volume 2611 of CEUR Workshop Proceedings, page 72-79. CEUR-WS.org, (2020)Quotations, Coreference Resolution, andSentiment Annotations in Croatian NewsArticles: An Exploratory Study., , , and . Qurator, volume 2836 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)OEKG: The Open Event Knowledge Graph., , , , , , , , , and 4 other author(s). CLEOPATRA@WWW, volume 2829 of CEUR Workshop Proceedings, page 61-75. CEUR-WS.org, (2021)Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets., and . Baltic HLT, volume 328 of Frontiers in Artificial Intelligence and Applications, page 55-61. IOS Press, (2020)Multi-task Learning for Cross-Lingual Sentiment Analysis., , and . CLEOPATRA@WWW, volume 2829 of CEUR Workshop Proceedings, page 76-84. CEUR-WS.org, (2021)M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets., , and . LREC/COLING, page 10833-10845. ELRA and ICCL, (2024)Building and Evaluating Universal Named-Entity Recognition English corpus., , and . CLEOPATRA@WWW, volume 2829 of CEUR Workshop Proceedings, page 2-16. CEUR-WS.org, (2021)Towards Normalising Konkani-English Code-Mixed Social Media Text., and . ICON, page 85-94. NLP Association of India, (2017)Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages., , and . SLTU-CCURL@LREC, page 153-158. European Language Resources association, (2020)Negation Detection Using NooJ., , and . MIPRO, page 237-241. IEEE, (2021)