Noura Farra
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #4,860 of 35,345 by trust here, #5,533 by citations
- Natural Language Processing — 36 citations into it; #1,440 of 5,688 by trust here, #1,571 by citations
- Safety, Robustness & Interpretability — 12 citations into it; #1,178 of 2,251 by trust here, #1,009 by citations
- Communication — 5 citations into it; #2,189 of 3,460 by trust here, #601 by citations
- Sociology and Political Science — 5 citations into it
Whom Noura Farra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Noura Farra overall
- Christos Baziotis
- Francesco Barbieri
- Wenxuan Zhang
- Tommaso Caselli
- Divyansh Kaushik
- Valerio Basile
- Damien Teney
- Alexandra Chronopoulou
- Muhammad Abdul-Mageed
- Hoa T. Le
Papers from Noura Farra's perspective
Ordered by how strongly the researchers Noura Farra 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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
- SemEval-2017 Task 4: Sentiment Analysis in Twitter (2017) — 911 citations