| Temporal annotation in the clinical domain WF Styler IV, S Bethard, S Finan, M Palmer, S Pradhan, PC De Groen, ... Transactions of the association for computational linguistics 2, 143-154, 2014 | 213 | 2014 |
| Temporal annotation in the clinical domain WF Styler IV, S Bethard, S Finan, M Palmer, S Pradhan, PC De Groen, ... Transactions of the association for computational linguistics 2, 143-154, 2014 | 213 | 2014 |
| Use of natural language processing to extract clinical cancer phenotypes from electronic medical records GK Savova, I Danciu, F Alamudun, T Miller, C Lin, DS Bitterman, ... Cancer research 79 (21), 5463-5470, 2019 | 147 | 2019 |
| A BERT-based Universal Model for Both Within-and Cross-sentence Clinical Temporal Relation Extraction C Lin, T Miller, D Dligach, S Bethard, G Savova Proceedings of the 2nd Clinical Natural Language Processing Workshop, 65-71, 2019 | 123 | 2019 |
| Neural temporal relation extraction D Dligach, T Miller, C Lin, S Bethard, G Savova Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 120 | 2017 |
| Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records C Lin, EW Karlson, H Canhao, TA Miller, D Dligach, PJ Chen, RNG Perez, ... PloS one 8 (8), e69932, 2013 | 110 | 2013 |
| DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records GK Savova, E Tseytlin, S Finan, M Castine, T Miller, O Medvedeva, ... Cancer Research 77 (21), e115-e118, 2017 | 103 | 2017 |
| Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record C Lin, EW Karlson, D Dligach, MP Ramirez, TA Miller, H Mo, NS Braggs, ... Journal of the American Medical Informatics Association 22 (e1), e151-e161, 2015 | 82 | 2015 |
| Multilayered temporal modeling for the clinical domain C Lin, D Dligach, TA Miller, S Bethard, GK Savova Journal of the American Medical Informatics Association 23 (2), 387-395, 2016 | 69 | 2016 |
| Does BERT need domain adaptation for clinical negation detection? C Lin, S Bethard, D Dligach, F Sadeque, G Savova, TA Miller Journal of the American Medical Informatics Association 27 (4), 584-591, 2020 | 64 | 2020 |
| Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks C Lin, T Miller, D Dligach, S Bethard, G Savova BioNLP 2017, 322-327, 2017 | 51 | 2017 |
| A system for coreference resolution for the clinical narrative J Zheng, WW Chapman, TA Miller, C Lin, RS Crowley, GK Savova Journal of the American Medical Informatics Association 19 (4), 660-667, 2012 | 48 | 2012 |
| EntityBERT: Entity-centric masking strategy for model pretraining for the clinical domain C Lin, T Miller, D Dligach, S Bethard, G Savova Association for Computational Linguistics (ACL), 2021 | 43 | 2021 |
| Maximal information coefficient for feature selection for clinical document classification C Lin, T Miller, D Dligach, RM Plenge, EW Karlson, G Savova ICML Workshop on Machine Learning for Clinical Data. Edingburgh, UK, 2012 | 42 | 2012 |
| Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction C Lin, T Miller, D Dligach, H Amiri, S Bethard, G Savova Proceedings of the Ninth International Workshop on Health Text Mining and …, 2018 | 40 | 2018 |
| Discovering temporal narrative containers in clinical text T Miller, S Bethard, D Dligach, S Pradhan, C Lin, G Savova Proceedings of the 2013 Workshop on Biomedical Natural Language Processing …, 2013 | 32 | 2013 |
| Discovering temporal narrative containers in clinical text T Miller, S Bethard, D Dligach, S Pradhan, C Lin, G Savova Proceedings of the 2013 Workshop on Biomedical Natural Language Processing …, 2013 | 32 | 2013 |
| Leveraging electronic health records data to predict multiple sclerosis disease activity Y Ahuja, N Kim, L Liang, T Cai, K Dahal, T Seyok, C Lin, S Finan, K Liao, ... Annals of clinical and translational neurology 8 (4), 800-810, 2021 | 22 | 2021 |
| A BERT-based one-pass multi-task model for clinical temporal relation extraction C Lin, T Miller, D Dligach, F Sadeque, S Bethard, G Savova ASSOC COMPUTATIONAL LINGUISTICS-ACL, 2020 | 22 | 2020 |
| Improving temporal relation extraction with training instance augmentation C Lin, T Miller, D Dligach, S Bethard, G Savova Proceedings of the 15th Workshop on Biomedical Natural Language Processing …, 2016 | 19 | 2016 |
Guergana SavovaProfessor, HarvardVahvistettu sähköpostiosoite verkkotunnuksessa childrens.harvard.edu
