CoolFace
Datasetpublic

chintagunta85/bc2gm_test

Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721. Here we present brief descriptions of all the methods used and a statistical analysis of the results. We also demonstrate that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions. For more details, see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559986/ The original dataset can be downloaded from: https://biocreative.bioinformatics.udel.edu/resources/corpora/biocreative-ii-corpus/ This dataset has been converted to CoNLL format for NER using the following tool: https://github.com/spyysalo/standoff2conll

sourceHugging Faceunknownupdated 4y agoView on Hugging Face
0likes16downloads
9 commits on main
e24270f4y ago

Delete dataset_infos.json

chintagunta85
ee696804y ago

Update bc2gm_test.py

chintagunta85
c0b2ca54y ago

Update bc2gm_test.py

chintagunta85
ca844604y ago

Upload README.md

chintagunta85
8d3c8774y ago

Upload bc2gm_test.py

chintagunta85
fade8fe4y ago

Update bc2gm.py

chintagunta85
017d8214y ago

Upload dataset_infos.json

chintagunta85
fa0a9f14y ago

Upload bc2gm.py

chintagunta85
5f2d3164y ago

initial commit

chintagunta85