Ritesh Kumar
Artificial Intelligence · with Malmasi · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it; #6,673 of 35,345 by trust here, #6,796 by citations
- Natural Language Processing — 39 citations into it; #1,057 of 5,688 by trust here, #1,296 by citations
- Information Systems — 18 citations into it
- Safety, Robustness & Interpretability — 16 citations into it; #448 of 2,251 by trust here, #705 by citations
- AI Ethics, Fairness & Society — 15 citations into it
- Communication — 10 citations into it; #2,188 of 3,460 by trust here, #601 by citations
- Law — 5 citations into it
- Sociology and Political Science — 5 citations into it
Whom Ritesh Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shervin Malmasi
- Thomas Davidson
- Marcos Zampieri
- Zeerak Talat
- Dana Warmsley
- Paula Fortuna
- Claire Hardaker
- Segun Taofeek Aroyehun
Who trusts Ritesh Kumar overall
- Marcos Zampieri
- Bertie Vidgen
- Yangjun Zhang
- Svetlana Kiritchenko
- Sara Rosenthal
- Serra Sinem Tekiroğlu
- Paula Fortuna
- Endang Wahyu Pamungkas
- Segun Taofeek Aroyehun
- Julian Risch
Papers from Ritesh Kumar's perspective
Ordered by how strongly the researchers Ritesh Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- GloVe: Global Vectors for Word Representation
- Locate the Hate: Detecting Tweets against Blacks
- Abusive Language Detection in Online User Content
- Hate Speech Detection with Comment Embeddings (The Web Conference)
- Attention is All you Need (Neural Information Processing Systems)
- A Survey on Hate Speech Detection using Natural Language Processing
- Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
- Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
Their papers
- SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) (2019) — 874 citations
- Predicting the Type and Target of Offensive Posts in Social Media (2019) — 905 citations
- Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022) — 10 citations
- Benchmarking Aggression Identification in Social Media (2018) — 447 citations