Mahmoud El-Haj

Natural Language Processing · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 10 citations into it; #4,763 of 5,688 by trust here, #4,682 by citations
• Evaluation & Benchmarks — 9 citations into it; #2,847 of 3,147 by trust here, #2,971 by citations
• Artificial Intelligence — 7 citations into it

Whom Mahmoud El-Haj trusts overall

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

1. Chin-Yew Lin
2. Chris Callison-Burch
3. Gerard A. Salton
4. Yihong Gong
5. Kristina Toutanova
6. Rion Snow
7. Susan T. Dumais
8. Xin Liu
9. Anita Wong
10. Udo Kruschwitz

Who trusts Mahmoud El-Haj overall

1. Rim Koulali
2. Thomas Scialom

Papers from Mahmoud El-Haj's perspective

Ordered by how strongly the researchers Mahmoud El-Haj trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. GloVe: Global Vectors for Word Representation
8. ROUGE: A Package for Automatic Evaluation of Summaries
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• KALIMAT a multipurpose Arabic corpus (2013) — 69 citations
• Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian (2013) — 24 citations
• Using Mechanical Turk to Create a Corpus of Arabic Summaries (2010) — 109 citations