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Author

Pushkar Mishra

Author Profiling for Abuse Detection
2018 · Pushkar Mishra, Marco Del Tredici, et al. · UvA-DARE (University of Amsterdam) · 69
Abusive Language Detection with Graph Convolutional Networks
2019 · Mishra, Pushkar, Del Tredici, Marco, et al. · arXiv (Cornell University) · 52
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Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
2019 · Mishra, Pushkar, Yannakoudakis, Helen, et al. · arXiv (Cornell University) · 51
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Graph-based Modeling of Online Communities for Fake News Detection
2020 · Chandra, Shantanu, Mishra, Pushkar, et al. · arXiv (Cornell University) · 38
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Abusive Language Detection with Graph Convolutional Networks
2019 · Pushkar Mishra, Marco Del Tredici, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 32
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Ruddit: Norms of Offensiveness for English Reddit Comments
2021 · Rishav Hada, Sohi Sudhir, et al. · 29
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Multilingual and cross-lingual document classification: A meta-learning approach
2021 · Niels van der Heijden, Helen Yannakoudakis, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 18
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Neural Character-based Composition Models for Abuse Detection
2018 · Pushkar Mishra, Helen Yannakoudakis, et al. · Workshop on Abusive Language Online (ALW) · 17
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Method cards for prescriptive machine-learning transparency
2022 · David Adkins, Bilal Alsallakh, et al. · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN) · 16
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
2020 · Holla, Nithin, Mishra, Pushkar, et al. · arXiv (Cornell University) · 16
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Author Profiling for Hate Speech Detection
2019 · Mishra, Pushkar, Del Tredici, Marco, et al. · arXiv (Cornell University) · 14
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Joint Modelling of Emotion and Abusive Language Detection
2020 · Santhosh Rajamanickam, Pushkar Mishra, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 13
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Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
2024 · Filippo Betello, Federico Siciliano, et al. · Lecture notes in computer science · 11
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Prescriptive and Descriptive Approaches to Machine-Learning Transparency
2022 · David Adkins, Bilal Alsallakh, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 10
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Node Masking: Making Graph Neural Networks Generalize and Scale Better
2020 · Mishra, Pushkar, Piktus, Aleksandra, et al. · arXiv (Cornell University) · 8
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CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets
2019 · Guy Aglionby, Chris Davis, et al. · International Workshop on Semantic Evaluation (SemEval) · 8
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A New Algorithm for Updating and Querying Sub-arrays of Multidimensional Arrays
2013 · Pushkar Mishra · arXiv (Cornell University) · 8
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Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
2020 · Nithin Holla, Pushkar Mishra, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 7
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Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
2021 · Pushkar Mishra, Helen Yannakoudakis, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 6
Towards a robust experimental framework and benchmark for lifelong language learning
2021 · Aman Hussain, Nithin Holla, et al. · neural information processing systems · 2
Yesterday’s News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models
2025 · Ivo Verhoeven, Pushkar Mishra, et al. · Computational Linguistics · 1
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The User behind the Abuse: A Position on Ethics and Explainability.
2021 · Pushkar Mishra, Helen Yannakoudakis, et al. · arXiv (Cornell University) · 1
On Updating and Querying Sub-arrays of Multidimensional Arrays.
2013 · Pushkar Mishra · 1
What do Reward Models Memorize?
2026 · Ivo Verhoeven, Pushkar Mishra, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 28
Citation count: 428
H-index: 12
I10-index: 14
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