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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).  ...  , along with two "hidden" aspects encoding the need that retrieved documents be within the domain of precision medicine and that retrieved documents have a focus on treatment.  ...  Conclusion In this paper, we described our system designed for the TREC 2018 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