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Team Cat-Garfield at TREC 2018 Precision Medicine Track

Xuesi Zhou, Xin Chen, Jian Song, Gang Zhao, Ji Wu
2018 Text Retrieval Conference  
This paper describes the system designed for the TREC 2018 Precision Medicine Track by the Team Cat-Garfield from Tsinghua University.  ...  utilized the qrels of TREC 2017 Precision Medicine Track as annotated data to train a classifier for precision medicine-relatedness of biomedical articles, named PM Classifier.  ...  Same as the track in 2017, TREC 2018 Precision Medicine Track focuses on the retrieval of biomedical articles and clinical trials which can provide useful precision medicine-related information to clinicians  ... 
dblp:conf/trec/ZhouCSZW18 fatcat:ygbpqsljlrglxean5pulkmdyga

Overview of the TREC 2018 Precision Medicine Track

Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, William R. Hersh, Steven Bedrick, Alexander J. Lazar
2018 Text Retrieval Conference  
National Library of Medicine, NIH. Finally, the organizers are grateful to the National Institute of Standards and Technology (NIST) for funding the assessment process.  ...  This started with the TREC 2017 Precision Medicine track and continued with the 2018 track described here.  ...  The 2018 Precision Medicine track continues this effort.  ... 
dblp:conf/trec/RobertsDVHBL18 fatcat:pxcvu5tkirfwdcrg2o5vvmo5vy

The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track

Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin
2018 Text Retrieval Conference  
We report on the participation of the Information Management System (IMS) Research Group of the University of Padua in the second task of the Precision Medicine Track at TREC 2018: the Clinical Trials  ...  This initial set of experiments lays the ground for a deeper study on the effectiveness of (automatic) knowledge-based expansion techniques in the context of precision medicine.  ...  Final Remarks In this paper, we presented the results of our participation in the TREC 2018 Precision Medicine Track.  ... 
dblp:conf/trec/AgostiN018 fatcat:73nrvszdsnhubn5jyfcnqqg7re

A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine [article]

Jiaming Qu, Yue Wang
2019 arXiv   pre-print
2018 PM track.  ...  We then improve precision by promoting treatment-related publications to the top using a machine learning reranker trained on 2017 Text Retrieval Conference Precision Medicine (PM) track corpus.  ...  In Table 7 , we include retrieval performances from three top-ranking teams in the 2018 PM track as well. Team hpi-dhc, Cat Garfield and SIBTextMining have the highest P@10 among all the teams.  ... 
arXiv:1904.07428v2 fatcat:tngn27xrgzf5pcphicauwzo3ue

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke, Bela Gipp, Harald Reiterer, Michael L. Nelson
2021 Zenodo  
In 1955, Garfield proposed tracking references in a central index to support researchers in exploring relevant literature, increase mutual awareness, and foster research collaboration [160, p. 108] .  ...  While the tool typically achieves a recall of at least 0.90, the precision can be as low as 0.13 [241, p. 143] .  ... 
doi:10.5281/zenodo.4913344 fatcat:xmpaahvwuva53l5l5i2gaidvi4