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ORCIDTravis R. Goodwin
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- affiliation: University of Texas at Dallas, Human Language Technology Research Institute, Richardson, TX, USA
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2020 – today
- 2022
[i4]Travis R. Goodwin, Dina Demner-Fushman:
Clinical Language Understanding Evaluation (CLUE). CoRR abs/2209.14377 (2022)- 2020
- [j3]Travis R. Goodwin, Dina Demner-Fushman:
A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision. J. Am. Medical Informatics Assoc. 27(4): 567-576 (2020) - [c29]Travis R. Goodwin, Max E. Savery, Dina Demner-Fushman:
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization. COLING 2020: 5640-5646 - [c28]Travis R. Goodwin, Max E. Savery, Dina Demner-Fushman:
Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning. EMNLP (Findings) 2020: 3215-3226 - [c27]Yassine Mrabet, Mourad Sarrouti, Asma Ben Abacha, Soumya Gayen, Travis R. Goodwin, Alastair R. Rae, Willie Rogers, Dina Demner-Fushman:
NLM at TREC 2020 Health Misinformation and Deep Learning Tracks. TREC 2020
2010 – 2019
- 2019
- [c26]Travis R. Goodwin, Dina Demner-Fushman:
Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients. AMIA 2019 - [c25]Asma Ben Abacha, Yassine Mrabet, Mark Sharp, Travis R. Goodwin, Sonya E. Shooshan, Dina Demner-Fushman:
Bridging the Gap Between Consumers' Medication Questions and Trusted Answers. MedInfo 2019: 25-29 - [i3]Travis R. Goodwin, Dina Demner-Fushman, Kin Wah Fung, Phong Do:
Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Labels. TAC 2019 - [i2]Travis R. Goodwin, Dina Demner-Fushman:
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge. CoRR abs/1910.07429 (2019) - 2018
- [j2]Travis R. Goodwin
, Sanda M. Harabagiu:
Knowledge Representations and Inference Techniques for Medical Question Answering. ACM Trans. Intell. Syst. Technol. 9(2): 14:1-14:26 (2018) - [c24]Travis R. Goodwin, Sanda M. Harabagiu:
The Impact of Inferring Treatments on Information Retrieval for Precision Medicine. AMIA 2018 - [c23]Stuart J. Taylor, Sanda M. Harabagiu, Travis R. Goodwin:
UTD HLTRI at TREC 2018: Precision Medicine Track. TREC 2018 - [i1]Dina Demner-Fushman, Kin Wah Fung, Phong Do, Richard D. Boyce, Travis R. Goodwin:
Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. TAC 2018 - 2017
- [c22]Travis R. Goodwin, Michael E. Bowen, Sanda M. Harabagiu:
A Data-driven Method for the Early Identification of Diabetes and Prediabetes. AMIA 2017 - [c21]Travis R. Goodwin, Sanda M. Harabagiu:
Inferring Clinical Correlations from EEG Reports with Deep Neural Learning. AMIA 2017 - [c20]Ramón Maldonado, Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu:
Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy. AMIA 2017 - [c19]Stuart J. Taylor, Travis R. Goodwin, Sanda M. Harabagiu:
An Evaluation of Syntactic Dependency Parsers on Clinical Data. AMIA 2017 - [c18]Travis R. Goodwin, Sanda M. Harabagiu:
Deep Learning from EEG Reports for Inferring Underspecified Information. CRI 2017 - [c17]Ramón Maldonado, Travis R. Goodwin, Sanda M. Harabagiu:
Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification. CRI 2017 - [c16]Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu:
UTD HLTRI at TREC 2017: Precision Medicine Track. TREC 2017 - 2016
- [c15]Travis R. Goodwin, Sanda M. Harabagiu:
Multi-modal Patient Cohort Identification from EEG Report and Signal Data. AMIA 2016 - [c14]Travis R. Goodwin, Sanda M. Harabagiu:
Medical Question Answering for Clinical Decision Support. CIKM 2016: 297-306 - [c13]Travis R. Goodwin, Sanda M. Harabagiu:
Inferring the Interactions of Risk Factors from EHRs. CRI 2016 - [c12]Travis R. Goodwin, Sanda M. Harabagiu:
Embedding Open-domain Common-sense Knowledge from Text. LREC 2016 - 2015
- [c11]Ramón Maldonado, Travis R. Goodwin, Sanda M. Harabagiu, Michael A. Skinner:
The Role of Semantic and Discourse Information in Learning the Structure of Surgical Procedures. ICHI 2015: 223-232 - [c10]Travis R. Goodwin, Sanda M. Harabagiu:
A Predictive Chronological Model of Multiple Clinical Observations. ICHI 2015: 253-262 - [c9]Travis R. Goodwin:
Discovering the Temporal Interactions between Clinical Observations. ICHI 2015: 484-493 - 2014
- [c8]Travis R. Goodwin, Sanda M. Harabagiu:
Clinical Data-Driven Probabilistic Graph Processing. LREC 2014: 101-108 - [c7]Travis R. Goodwin, Sanda M. Harabagiu:
UTD at TREC 2014: Query Expansion for Clinical Decision Support. TREC 2014 - 2013
- [j1]Travis R. Goodwin, Sanda M. Harabagiu:
Graphical Induction of Qualified Medical Knowledge. Int. J. Semantic Comput. 7(4): 377-406 (2013) - [c6]Travis R. Goodwin, Sanda M. Harabagiu:
The Impact of Belief Values on the Identification of Patient Cohorts. CLEF 2013: 155-166 - [c5]Travis R. Goodwin, Sanda M. Harabagiu:
Automatic Generation of a Qualified Medical Knowledge Graph and Its Usage for Retrieving Patient Cohorts from Electronic Medical Records. ICSC 2013: 363-370 - 2012
- [c4]Kirk Roberts, Travis R. Goodwin, Sanda M. Harabagiu:
Annotating Spatial Containment Relations Between Events. LREC 2012: 3052-3059 - [c3]Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu:
UTDHLT: COPACETIC System for Choosing Plausible Alternatives. SemEval@NAACL-HLT 2012: 461-466 - [c2]Travis R. Goodwin, Kirk Roberts, Bryan Rink, Sanda M. Harabagiu:
Cohort Sherpherd II: Verifying Cohort Constraints from Hospital Visits. TREC 2012 - 2011
- [c1]Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu:
Cohort Shepherd: Discoving Cohort Traits from Hospital Visits. TREC 2011
Coauthor Index
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