Matous Machácek

Evaluation & Benchmarks · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 9 citations into it; #691 of 3,147 by trust here, #2,166 by citations
• Natural Language Processing — 8 citations into it
• Artificial Intelligence — 6 citations into it; #6,720 of 35,345 by trust here, #17,776 by citations

Whom Matous Machácek trusts overall

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

1. Philipp Koehn
2. Matthew G. Snover
3. Christof Monz
4. Ondrej Bojar
5. Bonnie J. Dorr
6. Michael J. Denkowski
7. Boxing Chen
8. Richard M. Schwartz
9. Christian Buck

Who trusts Matous Machácek overall

1. Ondrej Bojar
2. Boxing Chen
3. Sebastian Gehrmann
4. Ananya B. Sai
5. Miloš Stanojević
6. Qingsong Ma
7. Yvette Graham
8. Weiyue Wang
9. Peter Anderson
10. Wei Zhao

Papers from Matous Machácek's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. A Study of Translation Edit Rate with Targeted Human Annotation
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Manual and Automatic Evaluation of Machine Translation between European Languages
8. A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Results of the WMT14 Metrics Shared Task (2014) — 141 citations