Travis Goodwin
Travis Goodwin
Applied Scientist, AWS
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Cited by
Cited by
Medical question answering for clinical decision support
TR Goodwin, SM Harabagiu
Proceedings of the 25th ACM international on conference on information and …, 2016
Automatic generation of a qualified medical knowledge graph and its usage for retrieving patient cohorts from electronic medical records
T Goodwin, SM Harabagiu
Seventh International Conference onSemantic Computing (ICSC), IEEE 2013, 363-370, 2013
Knowledge representations and inference techniques for medical question answering
TR Goodwin, SM Harabagiu
ACM transactions on intelligent systems and technology (TIST) 9 (2), 1-26, 2017
Flight of the PEGASUS? Comparing transformers on few-shot and zero-shot multi-document abstractive summarization
TR Goodwin, ME Savery, D Demner-Fushman
Proceedings of COLING. International Conference on Computational Linguistics …, 2020
UTD at TREC 2014: Query expansion for clinical decision support
T Goodwin, SM Harabagiu
Text REtrieval Conference 2014, 2014
Towards zero-shot conditional summarization with adaptive multi-task fine-tuning
TR Goodwin, ME Savery, D Demner-Fushman
Proceedings of the Conference on Empirical Methods in Natural Language …, 2020
Multi-modal patient cohort identification from EEG report and signal data
TR Goodwin, SM Harabagiu
AMIA Annual Symposium Proceedings 2016, 1794, 2016
UTD HLTRI at TREC 2017: Precision Medicine Track.
TR Goodwin, MA Skinner, SM Harabagiu
TREC, 2017
UTDHLT: COPACETIC system for choosing plausible alternatives
T Goodwin, B Rink, K Roberts, S Harabagiu
* SEM 2012: The First Joint Conference on Lexical and Computational …, 2012
Automatic recognition of symptom severity from psychiatric evaluation records
TR Goodwin, R Maldonado, SM Harabagiu
Journal of biomedical informatics 75, S71-S84, 2017
Deep learning meets biomedical ontologies: knowledge embeddings for epilepsy
R Maldonado, TR Goodwin, MA Skinner, SM Harabagiu
AMIA Annual Symposium Proceedings 2017, 1233, 2017
Cohort shepherd: Discovering cohort traits from hospital visits
T Goodwin, B Rink, K Roberts, SM Harabagiu
Proceedings of The 20th Text REtrieval Conference, 2011
Bridging the Gap Between Consumers' Medication Questions and Trusted Answers.
AB Abacha, Y Mrabet, M Sharp, TR Goodwin, SE Shooshan, ...
MedInfo, 25-29, 2019
Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track.
D Demner-Fushman, KW Fung, P Do, RD Boyce, TR Goodwin
TAC, 2018
A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision
TR Goodwin, D Demner-Fushman
Journal of the American Medical Informatics Association 27 (4), 567-576, 2020
Learning relevance models for patient cohort retrieval
TR Goodwin, SM Harabagiu
JAMIA open 1 (2), 265-275, 2018
Deep learning from EEG reports for inferring underspecified information
TR Goodwin, SM Harabagiu
AMIA Summits on Translational Science Proceedings 2017, 112, 2017
Active deep learning-based annotation of electroencephalography reports for cohort identification
R Maldonado, TR Goodwin, SM Harabagiu
AMIA Summits on Translational Science Proceedings 2017, 229, 2017
The impact of belief values on the identification of patient cohorts
T Goodwin, SM Harabagiu
International Conference of the Cross-Language Evaluation Forum for European …, 2013
Overview of the 2020 epidemic question answering track
TR Goodwin, D Demner-Fushman, K Lo, LL Wang, WR Hersh, HT Dang, ...
Text Analysis Conference, 2020
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