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Embeddings models for Buddhist Sanskrit.

, , , and . LREC, page 3861-3871. European Language Resources Association, (2022)

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Retweet communities reveal the main sources of hate speech., , , , and . CoRR, (2021)Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection., , , , , and . EACL (Hackashop), page 30-34. Association for Computational Linguistics, (2021)Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches., , and . SemEval@NAACL-HLT, page 604-610. Association for Computational Linguistics, (2019)Embeddings models for Buddhist Sanskrit., , , and . LREC, page 3861-3871. European Language Resources Association, (2022)Online Hate: Behavioural Dynamics and Relationship with Misinformation., , , , , and . CoRR, (2021)Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling., , and . IDA, volume 13876 of Lecture Notes in Computer Science, page 353-365. Springer, (2023)EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media., and . EAMT, page 291-292. European Association for Machine Translation, (2022)Multi-Task Learning for Features Extraction in Financial Annual Reports., , , , , , and . CoRR, (2024)Evolution of topics and hate speech in retweet network communities., , , , and . Appl. Netw. Sci., 6 (1): 96 (2021)Multi-task Learning for Features Extraction in Financial Annual Reports., , , , , , , , , and . PKDD/ECML Workshops (2), volume 1753 of Communications in Computer and Information Science, page 7-24. Springer, (2022)