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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models ... Velankar, Abhishek; Patil, Hrushikesh; Gore, Amol. - : arXiv, 2022 BASE Show details 2 Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi ... Velankar, Abhishek; Patil, Hrushikesh; Joshi, Raviraj. - : arXiv, 2022 BASE Show details 3 Hate and Offensive Speech Detection in Hindi and Marathi ... Velankar, Abhishek; Patil, Hrushikesh; Gore, Amol; Salunke, Shubham; Joshi, Raviraj. - : arXiv, 2021 Abstract: Sentiment analysis is the most basic NLP task to determine the polarity of text data. There has been a significant amount of work in the area of multilingual text as well. Still hate and offensive speech detection faces a challenge due to inadequate availability of data, especially for Indian languages like Hindi and Marathi. In this work, we consider hate and offensive speech detection in Hindi and Marathi texts. The problem is formulated as a text classification task using the state of the art deep learning approaches. We explore different deep learning architectures like CNN, LSTM, and variations of BERT like multilingual BERT, IndicBERT, and monolingual RoBERTa. The basic models based on CNN and LSTM are augmented with fast text word embeddings. We use the HASOC 2021 Hindi and Marathi hate speech datasets to compare these algorithms. The Marathi dataset consists of binary labels and the Hindi dataset consists of binary as well as more-fine grained labels. We show that the transformer-based models perform ... : Accepted at HASOC @Forum for Information Retrieval Evaluation(FIRE) 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2110.12200 https://arxiv.org/abs/2110.12200 BASE Hide details

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