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Identification of Multiword Expressions in Tweets for Hate Speech Detection.

, , , and . LREC, page 202-210. European Language Resources Association, (2022)

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Environment normalization training and environment adaptation using mixture stochastic trajectory model., , and . Speech Commun., 26 (4): 245-258 (1998)On-line Stochastic Matching compensation for non-stationary noise., , and . Comput. Speech Lang., 22 (3): 207-229 (2008)DNN-based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays., , , and . ICASSP, page 4672-4676. IEEE, (2020)Improving Automatic Hate Speech Detection with Multiword Expression Features., , and . CoRR, (2021)Training RNN language models on uncertain ASR hypotheses in limited data scenarios., , and . Comput. Speech Lang., (January 2024)Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection., , , and . ACL (Findings), page 372-382. Association for Computational Linguistics, (2022)Multiword Expression Features for Automatic Hate Speech Detection., , and . NLDB, volume 12801 of Lecture Notes in Computer Science, page 156-164. Springer, (2021)BERT-Based Semantic Model for Rescoring N-Best Speech Recognition List., and . Interspeech, page 1867-1871. ISCA, (2021)On Semi-Supervised LF-MMI Training of Acoustic Models with Limited Data., , and . INTERSPEECH, page 986-990. ISCA, (2020)Proper name retrieval from diachronic documents for automatic speech transcription using lexical and temporal context., , and . SLAM@INTERSPEECH, page 29-33. ISCA, (2014)