Denis Newman-Griffis
Denis Newman-Griffis
NLM Postdoctoral Fellow, University of Pittsburgh
Verified email at - Homepage
Cited by
Cited by
Jointly embedding entities and text with distant supervision
D Newman-Griffis, AM Lai, E Fosler-Lussier
Proceedings of The Third Workshop on Representation Learning for NLP, 195–206, 2018
Embedding transfer for low-resource medical named entity recognition: a case study on patient mobility
D Newman-Griffis, A Zirikly
Proceedings of the BioNLP 2018 workshop, 1-11, 2018
A quantitative and qualitative evaluation of sentence boundary detection for the clinical domain
D Griffis, C Shivade, E Fosler-Lussier, AM Lai
AMIA Summits on Translational Science Proceedings 2016, 88, 2016
Insights into analogy completion from the biomedical domain
D Newman-Griffis, AM Lai, E Fosler-Lussier
BioNLP 2017, 19-28, 2017
Medtype: Improving medical entity linking with semantic type prediction
S Vashishth, R Joshi, R Dutt, D Newman-Griffis, C Rose
arXiv preprint arXiv:2005.00460, 2020
Characterizing the impact of geometric properties of word embeddings on task performance
B Whitaker, D Newman-Griffis, A Haldar, H Ferhatosmanoglu, ...
Proceedings of the 3rd Workshop on Evaluating Vector Space Representations …, 2019
Inductive identification of functional status information and establishing a gold standard corpus: A case study on the Mobility domain
T Thieu, J Camacho, PS Ho, J Porcino, M Ding, L Nelson, E Rasch, ...
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
Broadening horizons: the case for capturing function and the role of health informatics in its use
D Newman-Griffis, J Porcino, A Zirikly, T Thieu, JC Maldonado, PS Ho, ...
BMC public health 19 (1), 1-13, 2019
Classifying the reported ability in clinical mobility descriptions
D Newman-Griffis, A Zirikly, G Divita, B Desmet
Proceedings of the 18th BioNLP Workshop and Shared Task, 1-10, 2019
Second-order word embeddings from nearest neighbor topological features
D Newman-Griffis, E Fosler-Lussier
arXiv preprint arXiv:1705.08488, 2017
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
D Newman-Griffis, G Divita, B Desmet, A Zirikly, CP Rosé, ...
Journal of the American Medical Informatics Association 28 (3), 516-532, 2021
HARE: a flexible highlighting annotator for ranking and exploration
D Newman-Griffis, E Fosler-Lussier
Proceedings of the Conference on Empirical Methods in Natural Language …, 2019
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings
D Newman-Griffis, E Fosler-Lussier
Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health
D Newman-Griffis, E Fosler-Lussier
Frontiers in digital health 3, 24, 2021
A comprehensive study of mobility functioning information in clinical notes: entity hierarchy, corpus annotation, and sequence labeling
T Thieu, JC Maldonado, PS Ho, M Ding, A Marr, D Brandt, ...
International Journal of Medical Informatics 147, 104351, 2021
Development of Natural Language Processing Tools to Support Determination of Federal Disability Benefits in the US
B Desmet, J Porcino, A Zirikly, D Newman-Griffis, G Divita, E Rasch
Proceedings of the 1st Workshop on Language Technologies for Government and …, 2020
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets
S Vashishth, D Newman-Griffis, R Joshi, R Dutt, CP Rosé
Journal of Biomedical Informatics 121, 103880, 2021
Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets
S Vashishth, D Newman-Griffis, R Joshi, R Dutt, C Rose
arXiv preprint arXiv:2005.00460, 2020
Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings
GE Moon, D Newman-Griffis, J Kim, A Sukumaran-Rajam, ...
2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2019
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
J Lovelace, D Newman-Griffis, S Vashishth, JF Lehman, CP Rosé
arXiv preprint arXiv:2106.06555, 2021
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