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UTD HLTRI at TREC 2017: Precision Medicine Track
2017
Text Retrieval Conference
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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
2018
Text Retrieval Conference
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19
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2019 pre-print arXiv:1911.00760v1 fatcat:v3ybmlagmfb3tgzjchpensvwfmOther Versions
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