Michal Ziemski

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #5,341 of 35,345 by trust here, #9,870 by citations
• Natural Language Processing — 6 citations into it; #1,186 of 5,688 by trust here, #2,172 by citations

Whom Michal Ziemski trusts overall

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

1. Qin Gao
2. Philipp Koehn
3. Kenneth Heafield
4. Nadir Durrani
5. Ralf Steinberger
6. Stephan Vogel
7. Ivan Pouzyrevsky
8. Alexander M. Fraser
9. Bruno Pouliquen

Who trusts Michal Ziemski overall

1. Yonatan Belinkov
2. Holger Schwenk
3. Zewen Chi
4. Danielle Saunders
5. Raj Dabre
6. Guillaume Lample
7. Mikel Artetxe
8. Alexis Conneau
9. Hassan Sajjad
10. Maruan Al-Shedivat

Papers from Michal Ziemski's perspective

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

1. Efficient Estimation of Word Representations in Vector Space
2. Scalable Modified Kneser-Ney Language Model Estimation
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Moses: Open Source Toolkit for Statistical Machine Translation
6. Bleu: a Method for Automatic Evaluation of Machine Translation
7. Long Short-Term Memory
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Parallel Implementations of Word Alignment Tool
10. The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages (International Conference on Language Resources and Evaluation)

Their papers

• The United Nations Parallel Corpus v1.0 (2016) — 476 citations
• RESCRIPt: Reproducible sequence taxonomy reference database management (2020) — 846 citations