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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
Abstract: Social media platforms often act as breeding grounds for various forms of trolling or malicious content targeting users or communities. One way of trolling users is by creating memes, which in most cases unites an image with a short piece of text embedded on top of it. The situation is more complex for multilingual(e.g., Tamil) memes due to the lack of benchmark datasets and models. We explore several models to detect Troll memes in Tamil based on the shared task, "Troll Meme Classification in DravidianLangTech2022" at ACL-2022. We observe while the text-based model MURIL performs better for Non-troll meme classification, the image-based model VGG16 performs better for Troll-meme classification. Further fusing these two modalities help us achieve stable outcomes in both classes. Our fusion model achieved a 0.561 weighted average F1 score and ranked second in this task. ... : Accepted at ACL 2022 DravidianLangTech Workshop ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG; Multimedia cs.MM
URL: https://arxiv.org/abs/2204.12587
https://dx.doi.org/10.48550/arxiv.2204.12587
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Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
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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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Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media ...
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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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