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ORCIDDenis Newman-Griffis
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2020 – today
- 2024
[i17]Denis Newman-Griffis:
AI Thinking: A framework for rethinking artificial intelligence in practice. CoRR abs/2409.12922 (2024)- [i16]Denis Newman-Griffis, Bonnielin Swenor, Rupa Valdez, Gillian Mason:
Disability data futures: Achievable imaginaries for AI and disability data justice. CoRR abs/2411.03885 (2024) - 2023
- [j6]Denis R. Newman-Griffis, Bart Desmet, Ayah Zirikly, Suzanne Tamang
, Chih-Hung Chang:
Editorial: Artificial intelligence for human function and disability. Frontiers Digit. Health 5 (2023) - [j5]Denis Newman-Griffis, Jessica Sage Rauchberg, Rahaf Alharbi, Louise Hickman, Harry Hochheiser:
Definition drives design: Disability models and mechanisms of bias in AI technologies. First Monday 28(1) (2023) - 2022
- [i15]Denis Newman-Griffis, Jessica Sage Rauchberg, Rahaf Alharbi, Louise Hickman, Harry Hochheiser:
Alternative models: Critical examination of disability definitions in the development of artificial intelligence technologies. CoRR abs/2206.08287 (2022) - 2021
- [j4]Denis Newman-Griffis, Eric Fosler-Lussier:
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. Frontiers Digit. Health 3: 620828 (2021) - [j3]Thanh Thieu, Jonathan Camacho Maldonado, Pei-Shu Ho, Min Ding, Alex Marr, Diane Brandt, Denis Newman-Griffis, Ayah Zirikly, Leighton Chan, Elizabeth Rasch:
A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling. Int. J. Medical Informatics 147: 104351 (2021) - [j2]Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. J. Am. Medical Informatics Assoc. 28(3): 516-532 (2021) - [j1]Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn P. Rosé:
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets. J. Biomed. Informatics 121: 103880 (2021) - [c18]Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé:
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network. ACL/IJCNLP (1) 2021: 1016-1029 - [c17]Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature. AMIA 2021 - [c16]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. NAACL-HLT (Demonstrations) 2021: 106-115 - [c15]Denis Newman-Griffis, Jill Fain Lehman, Carolyn P. Rosé, Harry Hochheiser:
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. NAACL-HLT 2021: 4125-4138 - [e2]Denis Newman-Griffis, Bart Desmet, Ayah Zirikly, Suzanne Tamang, Hongfang Liu:
Proceedings of the Second Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2021 International Joint Conference on Artificial Intelligence, AI4Function@IJCAI 2021, Online, August 20-21, 2021. CEUR Workshop Proceedings 2926, CEUR-WS.org 2021 [contents] - [i14]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. CoRR abs/2103.11029 (2021) - [i13]Denis Newman-Griffis, Jill Fain Lehman, Carolyn P. Rosé, Harry Hochheiser:
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. CoRR abs/2104.07874 (2021) - [i12]Sanya Bathla Taneja, Richard D. Boyce, William T. Reynolds, Denis Newman-Griffis:
Introducing Information Retrieval for Biomedical Informatics Students. CoRR abs/2105.02746 (2021) - [i11]Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn Penstein Rosé:
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network. CoRR abs/2106.06555 (2021) - 2020
- [c14]Denis R. Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets. AMIA 2020 - [c13]Bart Desmet, Julia Porcino, Ayah Zirikly, Denis Newman-Griffis, Guy Divita, Elizabeth Rasch:
Development of Natural Language Processing Tools to Support Determination of Federal Disability Benefits in the U.S. LT4Gov@LREC 2020: 1-6 - [e1]Denis Newman-Griffis, Serguei V. S. Pakhomov, Suzanne Tamang, Ayah Zirikly, Bart Desmet, Hongfang Liu, Junichi Tsujii:
Proceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Online, January 7-8, 2021. CEUR Workshop Proceedings 2760, CEUR-WS.org 2020 [contents] - [i10]Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé:
MedType: Improving Medical Entity Linking with Semantic Type Prediction. CoRR abs/2005.00460 (2020) - [i9]Denis Newman-Griffis, Eric Fosler-Lussier:
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. CoRR abs/2011.13978 (2020)
2010 – 2019
- 2019
- [c12]Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. LOUHI@EMNLP 2019: 146-156 - [c11]Denis R. Newman-Griffis, Ayah Zirikly, Pei-Shu Ho, Jonathan Camacho Maldonado, Maryanne Sacco, Alex Marr, Albert M. Lai, Eric Fosler-Lussier:
Automated classification of mobility activities in free text clinical narratives. AMIA 2019 - [c10]Ayah Zirikly, Denis R. Newman-Griffis, Julia Porcino, Pei-Shu Ho, Jonathan Camacho Maldonado, Maryanne Sacco, Alex Marr:
Bootstrapping a Mobility Dictionary from a Seed Set. AMIA 2019 - [c9]Denis Newman-Griffis, Ayah Zirikly, Guy Divita, Bart Desmet:
Classifying the reported ability in clinical mobility descriptions. BioNLP@ACL 2019: 1-10 - [c8]Denis Newman-Griffis, Eric Fosler-Lussier:
HARE: a Flexible Highlighting Annotator for Ranking and Exploration. EMNLP/IJCNLP (3) 2019: 85-90 - [c7]Gordon Euhyun Moon, Denis Newman-Griffis, Jinsung Kim, Aravind Sukumaran-Rajam, Eric Fosler-Lussier, P. Sadayappan:
Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings. MLHPC@SC 2019: 44-55 - [i8]Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier:
Characterizing the impact of geometric properties of word embeddings on task performance. CoRR abs/1904.04866 (2019) - [i7]Denis Newman-Griffis, Ayah Zirikly, Guy Divita, Bart Desmet:
Classifying the reported ability in clinical mobility descriptions. CoRR abs/1906.03348 (2019) - [i6]Denis Newman-Griffis, Eric Fosler-Lussier:
HARE: a Flexible Highlighting Annotator for Ranking and Exploration. CoRR abs/1908.11302 (2019) - [i5]Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. CoRR abs/1910.00192 (2019) - 2018
- [c6]Denis Newman-Griffis, Ayah Zirikly:
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility. BioNLP 2018: 1-11 - [c5]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Jointly Embedding Entities and Text with Distant Supervision. Rep4NLP@ACL 2018: 195-206 - [i4]Denis Newman-Griffis, Ayah Zirikly:
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility. CoRR abs/1806.02814 (2018) - [i3]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Jointly Embedding Entities and Text with Distant Supervision. CoRR abs/1807.03399 (2018) - 2017
- [c4]Thanh Thieu, Jonathan Camacho, Pei-Shu Ho, Julia Porcino, Min Ding, Lisa Nelson, Elizabeth Rasch, Chunxiao Zhou, Leighton Chan, Diane Brandt, Denis Newman-Griffis, Ao Yuan, Albert M. Lai:
Inductive identification of functional status information and establishing a gold standard corpus: A case study on the Mobility domain. BIBM 2017: 2319-2321 - [c3]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Insights into Analogy Completion from the Biomedical Domain. BioNLP 2017: 19-28 - [c2]Denis R. Newman-Griffis, Thanh Thieu, Chunxiao Zhou, Diane Brandt, Jonathan Camacho Maldonado, Julia Porcino, Albert M. Lai, Leighton Chan:
Characterizing the Language of Functioning: A Corpus Analysis Illustrating How Human Function is Described in Clinical Text. CRI 2017 - [i2]Denis Newman-Griffis, Eric Fosler-Lussier:
Second-Order Word Embeddings from Nearest Neighbor Topological Features. CoRR abs/1705.08488 (2017) - [i1]Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Insights into Analogy Completion from the Biomedical Domain. CoRR abs/1706.02241 (2017) - 2016
- [c1]Denis R. Griffis, Chaitanya Shivade, Eric Fosler-Lussier, Albert M. Lai:
A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain. CRI 2016
Coauthor Index
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