Josef van Genabith
Natural Language Processing · 1998–2020
A researcher in the Science corpus: 14 papers; trusts 167 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 153 citations into it; #1,505 of 5,688 by trust here, #2,203 by citations
- Artificial Intelligence — 149 citations into it; #13,030 of 35,345 by trust here, #11,490 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Evaluation & Benchmarks — 41 citations into it; #1,306 of 3,147 by trust here, #2,590 by citations
- Optimization & Training — 13 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Machine Translation — 12 citations into it; #264 of 292 by trust here, #182 by citations
- Large Language Models — 11 citations into it
Whom Josef van Genabith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Franz Joseph Och
- Kenneth Heafield
- Yoshua Bengio
- Rico Sennrich
- Matthew G. Snover
- Geoffrey E. Hinton
- Alon Lavie
- Ilya Sutskever
- Tomas Mikolov
Who trusts Josef van Genabith overall
- Ondrej Bojar
- Rajen Chatterjee
- Marcin Junczys-Dowmunt
- Holger Schwenk
- Yonatan Belinkov
- Matt Post
- David Weiss
- Percy Liang
- Chris Hokamp
Papers from Josef van Genabith's perspective
Ordered by how strongly the researchers Josef van Genabith trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- QuestionBank: Creating a Corpus of Parse-Annotated Questions (2006) — 117 citations
- An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification (2017) — 75 citations
- USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing (2016) — 18 citations
- USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015) — 17 citations
- Judging Grammaticality: Experiments in Sentence Classification (2013) — 50 citations
- Linguistically-augmented perplexity-based data selection for language models (2015) — 19 citations
- Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation (2020) — 14 citations
- How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? (2017) — 67 citations
- JU-USAAR: A Domain Adaptive MT System (2016)
- Searching for Context: a Study on Document-Level Labels for Translation Quality Estimation (2015) — 27 citations
- UdS-Sant: English–German Hybrid Machine Translation System (2015) — 14 citations
- Statistical Post-Editing for a Statistical MT System (2011) — 64 citations
- Treebank Annotation Schemes and Parser Evaluation for German (2007) — 54 citations
- Syntactic and Semantic Transfer with F-Structures (1998)