Pranav Narayan Gour

Natural Language Processing · 2020

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 53 citations into it; #5,127 of 5,688 by trust here, #3,687 by citations
• Artificial Intelligence — 49 citations into it; #19,156 of 35,345 by trust here, #16,471 by citations
• Evaluation & Benchmarks — 30 citations into it; #1,834 of 3,147 by trust here, #2,040 by citations

Whom Pranav Narayan Gour trusts overall

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

1. Chin-Yew Lin
2. Maxime Peyrard
3. Yvette Graham
4. Ani Nenkova
5. Christopher D. Manning
6. Ramesh Nallapati
7. Klaus Krippendorff
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Karl Moritz Hermann

Who trusts Pranav Narayan Gour overall

1. Sebastian Gehrmann
2. Pierre Colombo
3. Daniel Deutsch
4. Shiyue Zhang
5. Mingqi Gao
6. Pengfei Liu
7. Elizabeth Clark

Papers from Pranav Narayan Gour's perspective

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

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

• Re-evaluating Evaluation in Text Summarization (2020) — 216 citations
• Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics (2020) — 20 citations