Varvara Logacheva

Natural Language Processing · 2015–2021

A researcher in the Science corpus: 11 papers; trusts 96 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 240 citations into it; #3,313 of 5,688 by trust here, #695 by citations
• Artificial Intelligence — 236 citations into it; #11,873 of 35,345 by trust here, #2,144 by citations
• Evaluation & Benchmarks — 102 citations into it; #1,234 of 3,147 by trust here, #399 by citations
• Machine Translation — 67 citations into it; #206 of 292 by trust here, #23 by citations
• Computer Vision and Pattern Recognition — 32 citations into it
• Information Systems — 19 citations into it
• Molecular Biology — 19 citations into it
• Large Language Models — 14 citations into it

Whom Varvara Logacheva trusts overall

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

1. Philipp Koehn
2. Lucia Specia
3. Ondrej Bojar
4. Ngoc-Quang Luong
5. Kashif Shah
6. John D. Lafferty
7. Christian Buck
8. José G. C. de Souza
9. Tomas Mikolov
10. Laurent Besacier

Who trusts Varvara Logacheva overall

1. Ondrej Bojar
2. Lucia Specia
3. Rajen Chatterjee
4. Kurt Shuster
5. Frédéric Blain
6. Eric Michael Smith
7. Chris Hokamp
8. Christian Federmann
9. Jason Aaron Edward Weston
10. Samuel Humeau

Papers from Varvara Logacheva's perspective

Ordered by how strongly the researchers Varvara Logacheva 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. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Gradient-based learning applied to document recognition

Their papers

• The Second Conversational Intelligence Challenge (ConvAI2) (2019) — 403 citations
• Findings of the 2016 Conference on Machine Translation (2016) — 838 citations
• Findings of the 2017 Conference on Machine Translation (WMT17) (2017) — 543 citations
• Findings of the 2015 Workshop on Statistical Machine Translation (2015) — 344 citations
• MARMOT: A Toolkit for Translation Quality Estimation at the Word Level (2016) — 21 citations
• Metrics for Evaluation of Word-level Machine Translation Quality Estimation (2016) — 6 citations
• Text Detoxification using Large Pre-trained Neural Models (2021) — 100 citations
• USFD’s Phrase-level Quality Estimation Systems (2016)
• Data enhancement and selection strategies for the word-level Quality Estimation (2015) — 7 citations
• Phrase-level Quality Estimation for Machine Translation (2015)
• SHEF-NN: Translation Quality Estimation with Neural Networks (2015) — 25 citations