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UTD HLTRI at TREC 2017: Precision Medicine Track

Travis R. Goodwin, Michael A. Skinner, Sanda M. Harabagiu
2017 Text Retrieval Conference  
In this paper, we describe the system designed for the TREC 2017 Precision Medicine track by the University of Texas at Dallas (UTD) Human Language Technology Research Institute (HLTRI).  ...  medicine and that retrieved documents have a focus on treatment.  ...  In this paper, we present our system designed for the TREC 2017 Precision Medicine Track.  ... 
dblp:conf/trec/GoodwinSH17 fatcat:kfkl65zgh5euzne6yzqvdoutru

UTD HLTRI at TREC 2018: Precision Medicine Track

Stuart J. Taylor, Sanda M. Harabagiu, Travis R. Goodwin
2018 Text Retrieval Conference  
In this paper, we describe the system designed for the TREC 2018 Precision Medicine track by the University of Texas at Dallas (UTD) Human Language Technology Research Institute (HLTRI).  ...  Our system extends the system submitted for the 2017 track which incorporates an aspect-based retrieval paradigm wherein each of the four structured components of the topic is cast as a separate aspect  ...  In this paper, we present an extension of our system designed for the TREC 2017 Precision Medicine Track.  ... 
dblp:conf/trec/TaylorHG18 fatcat:efgb4umbq5bsfl3srix7rw7qwy

GRAPHENE

Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang
2019 Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19  
Experimental results on applying our system to TREC Precision Medicine track data are provided to demonstrate its effectiveness.  ...  Effective biomedical literature retrieval (BLR) plays a central role in precision medicine informatics. In this paper, we propose GRAPHENE, which is a deep learning based framework for precise BLR.  ...  are the top two results reported at TREC precision track 2017.  ... 
doi:10.1145/3357384.3358038 dblp:conf/cikm/ZhaoSSW19 fatcat:hpll7xork5em7jkoz4kz3m3gry