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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 ...
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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
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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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Analyzing the hate and counter speech accounts on Twitter ...
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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
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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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