Houda Bouamor

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 7 papers; trusts 127 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it; #19,291 of 35,345 by trust here, #17,776 by citations
• Natural Language Processing — 81 citations into it; #1,806 of 5,688 by trust here, #3,282 by citations
• Safety, Robustness & Interpretability — 32 citations into it
• Evaluation & Benchmarks — 20 citations into it; #2,719 of 3,147 by trust here, #2,938 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it; #1,618 of 3,145 by trust here, #2,558 by citations
• Language and Linguistics — 8 citations into it
• Model Architectures — 6 citations into it

Whom Houda Bouamor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Christopher D. Manning
3. Nizar Habash
4. Dzmitry Bahdanau
5. Yoshua Bengio
6. Kyunghyun Cho
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Rico Sennrich
10. Ilya Sutskever

Who trusts Houda Bouamor overall

1. Holger Schwenk
2. Mikel Artetxe
3. Ehud Reiter
4. Viktor Hangya
5. Emily Sheng
6. Alexander M. Fraser
7. Xin Eric Wang
8. Paul-Ambroise Duquenne
9. Rebecca Qian
10. Nizar Habash

Papers from Houda Bouamor's perspective

Ordered by how strongly the researchers Houda Bouamor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Automatic Gender Identification and Reinflection in Arabic (2019) — 53 citations
• A Human Judgement Corpus and a Metric for Arabic MT Evaluation (2014) — 26 citations
• The MADAR Arabic Dialect Corpus and Lexicon (2018) — 296 citations
• The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models (2021) — 379 citations
• Gender-Aware Reinflection using Linguistically Enhanced Neural Models (2020)
• H2@BUCC18: Parallel Sentence Extraction from Comparable Corpora Using Multilingual Sentence Embeddings (2018) — 45 citations
• Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation (2016) — 19 citations