Tags:
linkmedia, negation, BiLSTM-CRF, sequence labeling
Owner:
clement.dalloux@irisa.fr
BiLSTM-CRF for negation detection in French biomedical texts. DND returns cue tokens marked as cue_neg and scope tokens as scope_neg.
Please log in to perform a job with this app.
In input :
In output :
17/08/2020 : Version 3.0, BiLSTM-CRF with fasText embeddings for negation detection
13/08/2020 : Version 2.0,
28/05/2018 : Version 1.1, Cette version utilise des embeddings pré-entrainés
28/05/2018 : Version 1.0, Better preprocessing
06/11/2017 : Version 0.1, initial version
This app id is : 173
This curl command will create a job, and return your job url, and also the average execution time
files and/or dataset are optionnal, think to remove them if not wantedcurl -H 'Authorization: Token token=<your_private_token>' -X POST -F job[webapp_id]=173 -F job[param]="" -F job[queue]=standard -F files[0]=@test.txt -F files[1]=@test2.csv -F job[file_url]=<my_file_url> -F job[dataset]=<my_dataset_name> https://allgo.inria.fr/api/v1/jobs
Then, check your job to get the url files with :
curl -H 'Authorization: Token token=<your_private_token>' -X GET https://allgo.inria.fr/api/v1/jobs/<job_id>