Hamdy Mubarak
Natural Language Processing · 2014–2020
A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 61 citations into it; #4,235 of 5,688 by trust here, #2,567 by citations
- Artificial Intelligence — 59 citations into it; #17,564 of 35,345 by trust here, #10,566 by citations
- Communication — 11 citations into it; #2,139 of 3,460 by trust here, #883 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Safety, Robustness & Interpretability — 10 citations into it; #1,667 of 2,251 by trust here, #1,220 by citations
- Signal Processing — 9 citations into it
- Large Language Models — 6 citations into it
- Model Architectures — 6 citations into it
Whom Hamdy Mubarak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Ying Chen
- Nadir Durrani
- Philipp Koehn
- Nizar Habash
- Thorsten Joachims
- John D. Lafferty
- Geoffrey E. Hinton
- Kenneth Heafield
- Yoshua Bengio
Who trusts Hamdy Mubarak overall
- Pushkar Mishra
- Bertie Vidgen
- Shervin Malmasi
- Alexandros Xenos
- Marcos Zampieri
- Helen Yannakoudakis
- Jörgen Valk
- João A. Leite
Papers from Hamdy Mubarak's perspective
Ordered by how strongly the researchers Hamdy Mubarak trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Their papers
- SemEval-2016 Task 3: Community Question Answering (2019) — 206 citations
- Farasa: A Fast and Furious Segmenter for Arabic (2016) — 400 citations
- SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) (2020) — 533 citations
- Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging (2014) — 36 citations
- ADI17: A Fine-Grained Arabic Dialect Identification Dataset (2020) — 51 citations
- The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech (2019) — 75 citations
- Abusive Language Detection on Arabic Social Media (2017) — 320 citations