Milan Straka
Natural Language Processing · with Hajic · 2014–2018
A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 37 citations into it; #2,163 of 5,688 by trust here, #2,292 by citations
- Artificial Intelligence — 35 citations into it; #7,711 of 35,345 by trust here, #9,092 by citations
- Model Architectures — 10 citations into it
- Evaluation & Benchmarks — 9 citations into it; #1,338 of 3,147 by trust here, #1,631 by citations
Whom Milan Straka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Geoffrey E. Hinton
- Chris Dyer
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Yoshua Bengio
- Christopher D. Manning
- Kyunghyun Cho
- Joakim Nivre
Who trusts Milan Straka overall
- Ondrej Dusek
- Ryan Cotterell
- Clara Vania
- Daniel Zeman
- Phoebe Mulcaire
- Jungo Kasai
- Michihiro Yasunaga
- Chloé Braud
- Jana Straková
- Antti Virtanen
Papers from Milan Straka's perspective
Ordered by how strongly the researchers Milan Straka trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing (2016) — 472 citations
- Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition (2014) — 185 citations
- CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (2017) — 354 citations
- CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (2018) — 433 citations
- Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe (2017) — 628 citations
- Universal Dependencies 2.1 (2017) — 425 citations