Travis R. Goodwin

36 papers A 1B 4Misc 7Journal 5Unranked 19

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Clinical Language Understanding Evaluation (CLUE). CoRR Travis R. Goodwin, Dina Demner-Fushman
2020	J	`jnl`	A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision. J. Am. Medical Informatics Assoc. Travis R. Goodwin, Dina Demner-Fushman
2020	B	`conf`	Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization. COLING Travis R. Goodwin, Max E. Savery, Dina Demner-Fushman
2020	—	`conf`	NLM at TREC 2020 Health Misinformation and Deep Learning Tracks. TREC Yassine Mrabet, Mourad Sarrouti, Asma Ben Abacha, Soumya Gayen, Travis R. Goodwin, Alastair R. Rae, Willie Rogers, Dina Demner-Fushman
2020	—	`conf`	Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning. EMNLP (Findings) Travis R. Goodwin, Max E. Savery, Dina Demner-Fushman
2019	—	`conf`	Bridging the Gap Between Consumers' Medication Questions and Trusted Answers. MedInfo Asma Ben Abacha, Yassine Mrabet, Mark Sharp, Travis R. Goodwin, Sonya E. Shooshan, Dina Demner-Fushman
2019	J	`jnl`	Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge. CoRR Travis R. Goodwin, Dina Demner-Fushman
2019	Misc	`conf`	Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients. AMIA Travis R. Goodwin, Dina Demner-Fushman
2019	—	`conf`	Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Labels. TAC Travis R. Goodwin, Dina Demner-Fushman, Kin Wah Fung, Phong Do
2018	J	`jnl`	Knowledge Representations and Inference Techniques for Medical Question Answering. ACM Trans. Intell. Syst. Technol. Travis R. Goodwin, Sanda M. Harabagiu
2018	—	`conf`	Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. TAC Dina Demner-Fushman, Kin Wah Fung, Phong Do, Richard D. Boyce, Travis R. Goodwin
2018	Misc	`conf`	The Impact of Inferring Treatments on Information Retrieval for Precision Medicine. AMIA Travis R. Goodwin, Sanda M. Harabagiu
2018	—	`conf`	UTD HLTRI at TREC 2018: Precision Medicine Track. TREC Stuart J. Taylor, Sanda M. Harabagiu, Travis R. Goodwin
2017	Misc	`conf`	A Data-driven Method for the Early Identification of Diabetes and Prediabetes. AMIA Travis R. Goodwin, Michael E. Bowen, Sanda M. Harabagiu
2017	—	`conf`	Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification. CRI Ramón Maldonado, Travis R. Goodwin, Sanda M. Harabagiu
2017	Misc	`conf`	An Evaluation of Syntactic Dependency Parsers on Clinical Data. AMIA Stuart J. Taylor, Travis R. Goodwin, Sanda M. Harabagiu
2017	Misc	`conf`	Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy. AMIA Ramón Maldonado, Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu
2017	—	`conf`	Deep Learning from EEG Reports for Inferring Underspecified Information. CRI Travis R. Goodwin, Sanda M. Harabagiu
2017	Misc	`conf`	Inferring Clinical Correlations from EEG Reports with Deep Neural Learning. AMIA Travis R. Goodwin, Sanda M. Harabagiu
2017	—	`conf`	UTD HLTRI at TREC 2017: Precision Medicine Track. TREC Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu
2016	B	`conf`	Embedding Open-domain Common-sense Knowledge from Text. LREC Travis R. Goodwin, Sanda M. Harabagiu
2016	—	`conf`	Inferring the Interactions of Risk Factors from EHRs. CRI Travis R. Goodwin, Sanda M. Harabagiu
2016	A	`conf`	Medical Question Answering for Clinical Decision Support. CIKM Travis R. Goodwin, Sanda M. Harabagiu
2016	Misc	`conf`	Multi-modal Patient Cohort Identification from EEG Report and Signal Data. AMIA Travis R. Goodwin, Sanda M. Harabagiu
2015	—	`conf`	A Predictive Chronological Model of Multiple Clinical Observations. ICHI Travis R. Goodwin, Sanda M. Harabagiu
2015	—	`conf`	Discovering the Temporal Interactions between Clinical Observations. ICHI Travis R. Goodwin
2015	—	`conf`	The Role of Semantic and Discourse Information in Learning the Structure of Surgical Procedures. ICHI Ramón Maldonado, Travis R. Goodwin, Sanda M. Harabagiu, Michael A. Skinner
2014	B	`conf`	Clinical Data-Driven Probabilistic Graph Processing. LREC Travis R. Goodwin, Sanda M. Harabagiu
2014	—	`conf`	UTD at TREC 2014: Query Expansion for Clinical Decision Support. TREC Travis R. Goodwin, Sanda M. Harabagiu
2013	—	`conf`	Automatic Generation of a Qualified Medical Knowledge Graph and Its Usage for Retrieving Patient Cohorts from Electronic Medical Records. ICSC Travis R. Goodwin, Sanda M. Harabagiu
2013	J	`jnl`	Graphical Induction of Qualified Medical Knowledge. Int. J. Semantic Comput. Travis R. Goodwin, Sanda M. Harabagiu
2013	—	`conf`	The Impact of Belief Values on the Identification of Patient Cohorts. CLEF Travis R. Goodwin, Sanda M. Harabagiu
2012	B	`conf`	Annotating Spatial Containment Relations Between Events. LREC Kirk Roberts, Travis R. Goodwin, Sanda M. Harabagiu
2012	—	`conf`	Cohort Sherpherd II: Verifying Cohort Constraints from Hospital Visits. TREC Travis R. Goodwin, Kirk Roberts, Bryan Rink, Sanda M. Harabagiu
2012	—	`conf`	UTDHLT: COPACETIC System for Choosing Plausible Alternatives. SemEval@NAACL-HLT Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu
2011	—	`conf`	Cohort Shepherd: Discoving Cohort Traits from Hospital Visits. TREC Travis R. Goodwin, Bryan Rink, Kirk Roberts, Sanda M. Harabagiu