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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
Abstract: Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological effects on the target users. Thus, the problem of abusive language should be addressed in all forms for online peace and safety. While extensive research exists in abusive speech detection, most studies focus on English. Recently, many smearing incidents have occurred in India, which provoked diverse forms of abusive speech in online space in various languages based on the geographic location. Therefore it is essential to deal with such malicious content. In this paper, to bridge the gap, we demonstrate a large-scale analysis of multilingual abusive speech in Indic languages. We examine different interlingual transfer mechanisms and observe the performance of various multilingual models for abusive speech detection for eight different Indic languages. We also experiment to show how robust these models are on adversarial attacks. Finally, we conduct an in-depth error analysis by ... : Accepted at HT '22: 33rd ACM Conference on Hypertext and Social Media ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.12543
https://arxiv.org/abs/2204.12543
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A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification ...
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Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection ...
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When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia ...
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Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages ...
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Deep Learning Models for Multilingual Hate Speech Detection ...
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Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection ...
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Thou Shalt Not Hate: Countering Online Hate Speech
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media; 369-380 ; 2334-0770 ; 2162-3449 (2019)
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On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
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StRE: Self Attentive Edit Quality Prediction in Wikipedia ...
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Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions ...
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Detecting Reliable Novel Word Senses: A Network-Centric Approach ...
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CL Scholar: The ACL Anthology Knowledge Graph Miner ...
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Analyzing the hate and counter speech accounts on Twitter ...
Mathew, Binny; Kumar, Navish; Ravina. - : arXiv, 2018
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What Propels Celebrity Follower Counts? Language Use or Social Connectivity ...
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17
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media ...
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18
AppTechMiner: Mining Applications and Techniques from Scientific Articles ...
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Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora ...
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Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2017)
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