Anastasia Shimorina
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 9 papers; trusts 162 researchers and is trusted by 72 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 190 citations into it; #3,352 of 35,345 by trust here, #3,816 by citations
- Natural Language Processing — 189 citations into it; #959 of 5,688 by trust here, #981 by citations
- Evaluation & Benchmarks — 98 citations into it; #1,528 of 3,147 by trust here, #1,027 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Natural Language Generation — 12 citations into it; #135 of 199 by trust here, #170 by citations
- Model Architectures — 9 citations into it
- Generative Models — 8 citations into it
- Safety Research — 5 citations into it
Whom Anastasia Shimorina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Claire Gardent
- Dzmitry Bahdanau
- Yoshua Bengio
- Chin-Yew Lin
- Geoffrey E. Hinton
- Ilya Sutskever
- Christopher D. Manning
- Kyunghyun Cho
- Oriol Vinyals
- Diederik P. Kingma
Who trusts Anastasia Shimorina overall
- Sebastian Gehrmann
- Claire Gardent
- Thiago Castro Ferreira
- Ondrej Dusek
- Hamza Harkous
- Thibault Sellam
- Anya Belz
- Elizabeth Clark
- Pierre Colombo
- Laura Perez-Beltrachini
Papers from Anastasia Shimorina's perspective
Ordered by how strongly the researchers Anastasia Shimorina trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- The WebNLG Challenge: Generating Text from RDF Data (2017) — 452 citations
- Creating Training Corpora for NLG Micro-Planners (2017) — 492 citations
- Handling Rare Items in Data-to-Text Generation (2018) — 46 citations
- The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP (2021) — 38 citations
- Split and Rephrase (2017) — 100 citations
- The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results (2021) — 49 citations
- The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020) (2020)
- The 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP) (2015) — 33 citations