Cohort Shepherd: Discoving Cohort Traits from Hospital Visits. - Travis R. Goodwin; Bryan Rink; Kirk Roberts; Sanda M. Harabagiu (TREC, 2011)

Annotating Spatial Containment Relations Between Events. - Kirk Roberts; Travis R. Goodwin; Sanda M. Harabagiu (LREC, 2012)

UTDHLT: COPACETIC System for Choosing Plausible Alternatives. - Travis R. Goodwin; Bryan Rink; Kirk Roberts; Sanda M. Harabagiu (SemEval@NAACL-HLT, 2012)

Cohort Sherpherd II: Verifying Cohort Constraints from Hospital Visits. - Travis R. Goodwin; Kirk Roberts; Bryan Rink; Sanda M. Harabagiu (TREC, 2012)

The Impact of Belief Values on the Identification of Patient Cohorts. - Travis R. Goodwin; Sanda M. Harabagiu (CLEF, 2013)

Automatic Generation of a Qualified Medical Knowledge Graph and Its Usage for Retrieving Patient Cohorts from Electronic Medical Records. - Travis R. Goodwin; Sanda M. Harabagiu (ICSC, 2013)

Graphical Induction of Qualified Medical Knowledge. - Travis R. Goodwin; Sanda M. Harabagiu (Int. J. Semantic Comput., 2013)

Clinical Data-Driven Probabilistic Graph Processing. - Travis R. Goodwin; Sanda M. Harabagiu (LREC, 2014)

UTD at TREC 2014: Query Expansion for Clinical Decision Support. - Travis R. Goodwin; Sanda M. Harabagiu (TREC, 2014)

Discovering the Temporal Interactions between Clinical Observations. - Travis R. Goodwin (ICHI, 2015)

A Predictive Chronological Model of Multiple Clinical Observations. - Travis R. Goodwin; Sanda M. Harabagiu (ICHI, 2015)

The Role of Semantic and Discourse Information in Learning the Structure of Surgical Procedures. - Ramón Maldonado; Travis R. Goodwin; Sanda M. Harabagiu; Michael A. Skinner (ICHI, 2015)

Multi-modal Patient Cohort Identification from EEG Report and Signal Data. - Travis R. Goodwin; Sanda M. Harabagiu (AMIA, 2016)

Medical Question Answering for Clinical Decision Support. - Travis R. Goodwin; Sanda M. Harabagiu (CIKM, 2016)

Inferring the Interactions of Risk Factors from EHRs. - Travis R. Goodwin; Sanda M. Harabagiu (CRI, 2016)

Embedding Open-domain Common-sense Knowledge from Text. - Travis R. Goodwin; Sanda M. Harabagiu (LREC, 2016)

A Data-driven Method for the Early Identification of Diabetes and Prediabetes. - Travis R. Goodwin; Michael E. Bowen; Sanda M. Harabagiu (AMIA, 2017)

Inferring Clinical Correlations from EEG Reports with Deep Neural Learning. - Travis R. Goodwin; Sanda M. Harabagiu (AMIA, 2017)

Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy. - Ramón Maldonado; Travis R. Goodwin; Michael A. Skinner; Sanda M. Harabagiu (AMIA, 2017)

An Evaluation of Syntactic Dependency Parsers on Clinical Data. - Stuart J. Taylor; Travis R. Goodwin; Sanda M. Harabagiu (AMIA, 2017)

Deep Learning from EEG Reports for Inferring Underspecified Information. - Travis R. Goodwin; Sanda M. Harabagiu (CRI, 2017)

Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification. - Ramón Maldonado; Travis R. Goodwin; Sanda M. Harabagiu (CRI, 2017)

UTD HLTRI at TREC 2017: Precision Medicine Track. - Travis R. Goodwin; Michael A. Skinner; Sanda M. Harabagiu (TREC, 2017)

The Impact of Inferring Treatments on Information Retrieval for Precision Medicine. - Travis R. Goodwin; Sanda M. Harabagiu (AMIA, 2018)

Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. - Dina Demner-Fushman; Kin Wah Fung; Phong Do; Richard D. Boyce; Travis R. Goodwin (TAC, 2018)

UTD HLTRI at TREC 2018: Precision Medicine Track. - Stuart J. Taylor; Sanda M. Harabagiu; Travis R. Goodwin (TREC, 2018)

Knowledge Representations and Inference Techniques for Medical Question Answering. - Travis R. Goodwin; Sanda M. Harabagiu (ACM Trans. Intell. Syst. Technol., 2018)

Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients. - Travis R. Goodwin; Dina Demner-Fushman (AMIA, 2019)

Bridging the Gap Between Consumers' Medication Questions and Trusted Answers. - Asma Ben Abacha; Yassine Mrabet; Mark Sharp; Travis R. Goodwin; Sonya E. Shooshan; Dina Demner-Fushman (MedInfo, 2019)

Overview of the TAC 2019 Track on Drug-Drug Interaction Extraction from Drug Labels. - Travis R. Goodwin; Dina Demner-Fushman; Kin Wah Fung; Phong Do (TAC, 2019)

Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge. - Travis R. Goodwin; Dina Demner-Fushman (CoRR, 2019)

Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization. - Travis R. Goodwin; Max E. Savery; Dina Demner-Fushman (COLING, 2020)

Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning. - Travis R. Goodwin; Max E. Savery; Dina Demner-Fushman (EMNLP (Findings), 2020)

NLM at TREC 2020 Health Misinformation and Deep Learning Tracks. - Yassine Mrabet; Mourad Sarrouti; Asma Ben Abacha; Soumya Gayen; Travis R. Goodwin; Alastair R. Rae; Willie Rogers; Dina Demner-Fushman (TREC, 2020)

A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision. - Travis R. Goodwin; Dina Demner-Fushman (J. Am. Medical Informatics Assoc., 2020)

Clinical Language Understanding Evaluation (CLUE). - Travis R. Goodwin; Dina Demner-Fushman (CoRR, 2022)