Guergana K. Savova
Artificial Intelligence · 2008–2018
A researcher in the Science corpus: 15 papers; trusts 29 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it; #11,863 of 35,345 by trust here, #5,120 by citations
- Molecular Biology — 44 citations into it; #4,847 of 17,773 by trust here, #3,610 by citations
- Natural Language Processing — 40 citations into it; #4,698 of 5,688 by trust here, #5,593 by citations
- Genetics — 21 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Management Science and Operations Research — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Guergana K. Savova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc Verhagen
- Stéphane M. Meystre
- Alan R. Aronson
- Steven Bethard
- Mitchell P. Marcus
- David A. Ferrucci
- Wendy W. Chapman
- Dekang Lin
- Vincent Ng
- Leon Derczynski
Who trusts Guergana K. Savova overall
- Yuan Luo
- Timothy Miller
- Sumithra Velupillai
- Peter Bjødstrup Jensen
- Hua Xu
- Shaodian Zhang
- Simon Suster
- Steven Bethard
- Sebastian Gehrmann
- Qiang Ning
Papers from Guergana K. Savova's perspective
Ordered by how strongly the researchers Guergana K. Savova trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GloVe: Global Vectors for Word Representation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications (2010) — 2,044 citations
- SemEval-2015 Task 6: Clinical TempEval (2015) — 166 citations
- Clinical Natural Language Processing in languages other than English: opportunities and challenges (2018) — 306 citations
- SemEval-2017 Task 12: Clinical TempEval (2017) — 111 citations
- Neural Temporal Relation Extraction (2017) — 96 citations
- Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks (2017) — 39 citations
- Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (2008) — 957 citations
- A system for coreference resolution for the clinical narrative (2012) — 41 citations
- Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions (2011) — 305 citations
- Development of phenotype algorithms using electronic medical records and incorporating natural language processing (2015) — 269 citations
- Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record (2015) — 73 citations
- PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability (2016) — 347 citations
- SemEval-2016 Task 12: Clinical TempEval (2016) — 187 citations
- Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts (2015) — 85 citations
- Active Learning for Coreference Resolution (2012) — 11 citations