Christian Hardmeier
Natural Language Processing · 2010–2019
A researcher in the Science corpus: 9 papers; trusts 115 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 82 citations into it; #1,631 of 5,688 by trust here, #1,874 by citations
- Artificial Intelligence — 73 citations into it; #10,178 of 35,345 by trust here, #10,667 by citations
- Evaluation & Benchmarks — 19 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Machine Translation — 7 citations into it
- Model Architectures — 6 citations into it
- Large Language Models — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Christian Hardmeier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Franz Joseph Och
- Rico Sennrich
- Hermann Ney
- Marcello Federico
- Kyunghyun Cho
- Jörg Tiedemann
- Yoshua Bengio
- Andreas Stolcke
- Ian H. Witten
Who trusts Christian Hardmeier overall
- Liane Guillou
- Yang Trista Cao
- Hal Daumé Iii
- Lesly Miculicich
- Marta Ruiz Costa-jussà
- Karolina Stańczak
- Eva Vanmassenhove
- Jörg Tiedemann
- Ondrej Bojar
- Nizar Habash
Papers from Christian Hardmeier's perspective
Ordered by how strongly the researchers Christian Hardmeier trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Anaphora Models and Reordering for Phrase-Based SMT (2014) — 9 citations
- Getting Gender Right in Neural Machine Translation (2019) — 217 citations
- Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction (2017) — 22 citations
- Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point (2018) — 36 citations
- Pronoun Translation in English-French Machine Translation: An Analysis of Error Types (2018) — 9 citations
- Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction (2019) — 55 citations
- Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 (2019) — 23 citations
- Europarl Datasets with Demographic Speaker Information (2018) — 15 citations
- Modelling pronominal anaphora in statistical machine translation (2010) — 140 citations