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Information extraction from digital social trace data with applications to social media and scholarly communication data. University of Illinois Urbana-Champaign, USA, (2020)Robust Candidate Generation for Entity Linking on Short Social Media Texts., , , , , and . W-NUT@COLING, page 83-89. Association for Computational Linguistics, (2022)3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages., and . FIRE (Working Notes), volume 2517 of CEUR Workshop Proceedings, page 208-213. CEUR-WS.org, (2019)Enthusiasm and support: alternative sentiment classification for social movements on social media., , , , , and . WebSci, page 261-262. ACM, (2014)PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data., and . CoRR, (2022)Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora., and . HT, page 2-10. ACM, (2018)NTULM: Enriching Social Media Text Representations with Non-Textual Units., , , , and . W-NUT@COLING, page 69-82. Association for Computational Linguistics, (2022)Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction., and . W-NUT, page 381-388. Association for Computational Linguistics, (2021)Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media., , and . CoRR, (2021)TweetNERD - End to End Entity Linking Benchmark for Tweets., , , , , and . NeurIPS, (2022)