Mousumi Akter

Natural Language Processing · 2022

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 25 citations into it
• Artificial Intelligence — 21 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Large Language Models — 5 citations into it

Whom Mousumi Akter trusts overall

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

1. Chin-Yew Lin
2. Maxime Peyrard
3. Ani Nenkova
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alec Radford
7. Yang Liu
8. Nils Reimers
9. Kalervo Järvelin
10. Ilya Sutskever

Papers from Mousumi Akter's perspective

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

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

Their papers

• Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? (2022) — 50 citations