Travis R. Goodwin

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 24

Top Topics

Language Understanding

Clinical Decision Support

Question Answering

Top Venues

Publications

Travis R. Goodwin, Dina Demner-Fushman
Clinical Language Understanding Evaluation (CLUE). CoRR (2022)
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)
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)
Travis R. Goodwin, Max E. Savery, Dina Demner-Fushman
Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning. EMNLP (Findings) (2020)
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) (2020)
Travis R. Goodwin, Dina Demner-Fushman
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge. CoRR (2019)
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)
Travis R. Goodwin, Dina Demner-Fushman
Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients. AMIA (2019)
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)
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)
Travis R. Goodwin, Sanda M. Harabagiu
The Impact of Inferring Treatments on Information Retrieval for Precision Medicine. AMIA (2018)
Travis R. Goodwin, Sanda M. Harabagiu
Knowledge Representations and Inference Techniques for Medical Question Answering. ACM Trans. Intell. Syst. Technol. 9 (2) (2018)
Stuart J. Taylor, Sanda M. Harabagiu, Travis R. Goodwin
UTD HLTRI at TREC 2018: Precision Medicine Track. TREC (2018)
Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu
UTD HLTRI at TREC 2017: Precision Medicine Track. TREC (2017)
Ramón Maldonado, Travis R. Goodwin, Sanda M. Harabagiu
Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification. CRI (2017)
Ramón Maldonado, Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu
Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy. AMIA (2017)
Travis R. Goodwin, Michael E. Bowen, Sanda M. Harabagiu
A Data-driven Method for the Early Identification of Diabetes and Prediabetes. AMIA (2017)
Stuart J. Taylor, Travis R. Goodwin, Sanda M. Harabagiu
An Evaluation of Syntactic Dependency Parsers on Clinical Data. AMIA (2017)
Travis R. Goodwin, Sanda M. Harabagiu
Deep Learning from EEG Reports for Inferring Underspecified Information. CRI (2017)
Travis R. Goodwin, Sanda M. Harabagiu
Inferring Clinical Correlations from EEG Reports with Deep Neural Learning. AMIA (2017)
Travis R. Goodwin, Sanda M. Harabagiu
Medical Question Answering for Clinical Decision Support. CIKM (2016)
Travis R. Goodwin, Sanda M. Harabagiu
Inferring the Interactions of Risk Factors from EHRs. CRI (2016)
Travis R. Goodwin, Sanda M. Harabagiu
Embedding Open-domain Common-sense Knowledge from Text. LREC (2016)
Travis R. Goodwin, Sanda M. Harabagiu
Multi-modal Patient Cohort Identification from EEG Report and Signal Data. AMIA (2016)
Travis R. Goodwin, Sanda M. Harabagiu
A Predictive Chronological Model of Multiple Clinical Observations. ICHI (2015)
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)
Travis R. Goodwin
Discovering the Temporal Interactions between Clinical Observations. ICHI (2015)
Travis R. Goodwin, Sanda M. Harabagiu
Clinical Data-Driven Probabilistic Graph Processing. LREC (2014)
Travis R. Goodwin, Sanda M. Harabagiu
UTD at TREC 2014: Query Expansion for Clinical Decision Support. TREC (2014)
Travis R. Goodwin, Sanda M. Harabagiu
Graphical Induction of Qualified Medical Knowledge. Int. J. Semantic Comput. 7 (4) (2013)
Travis R. Goodwin, Sanda M. Harabagiu
The Impact of Belief Values on the Identification of Patient Cohorts. CLEF (2013)
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)
Travis R. Goodwin, Kirk Roberts, Bryan Rink, Sanda M. Harabagiu
Cohort Sherpherd II: Verifying Cohort Constraints from Hospital Visits. TREC (2012)
Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu
UTDHLT: COPACETIC System for Choosing Plausible Alternatives. SemEval@NAACL-HLT (2012)
Kirk Roberts, Travis R. Goodwin, Sanda M. Harabagiu
Annotating Spatial Containment Relations Between Events. LREC (2012)
Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu
Cohort Shepherd: Discoving Cohort Traits from Hospital Visits. TREC (2011)