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QMUL-NLP at HASOC 2019: Offensive Content Detection and Classification in Social Media.. FIRE (Working Notes), том 2517 из CEUR Workshop Proceedings, стр. 254-262. CEUR-WS.org, (2019)Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges., и . CoRR, (2024)Leveraging aspect phrase embeddings for cross-domain review rating prediction., и . PeerJ Comput. Sci., (2019)A Modelling Attack Resistant Low Overhead Memristive Physical Unclonable Function., , , и . DFT, стр. 1-4. IEEE, (2020)QMUL-SDS at EXIST: Leveraging Pre-trained Semantics and Lexical Features for Multilingual Sexism Detection in Social Networks., и . IberLEF@SEPLN, том 2943 из CEUR Workshop Proceedings, стр. 469-483. CEUR-WS.org, (2021)Cross-lingual Capsule Network for Hate Speech Detection in Social Media., и . HT, стр. 217-223. ACM, (2021)SexWEs: Domain-Aware Word Embeddings via Cross-Lingual Semantic Specialisation for Chinese Sexism Detection in Social Media., и . ICWSM, стр. 447-458. AAAI Press, (2023)Leveraging Aspect Phrase Embeddings for Cross-Domain Review Rating Prediction., и . CoRR, (2018)SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection., , , и . CoRR, (2021)SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media., и . CoRR, (2022)