Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mario Sänger

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
BMC Bioinformatics|October 7, 2025
Knowledge-augmented pre-trained language models for biomedical relation extractionMario Sänger, Ulf Leser
Bioinformatics (Oxford, England)|July 30, 2020
Large-scale entity representation learning for biomedical relationship extractionMario Sänger, Ulf Leser
Database : the Journal of Biological Databases and Curation|November 18, 2022
Chemical-protein relation extraction with ensembles of carefully tuned pretrained language modelsLeon Weber, Mario Sänger, Samuele Garda, et al.
Bioinformatics (Oxford, England)|January 28, 2021
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognitionLeon Weber, Mario Sänger, Jannes Münchmeyer, et al.
Gigascience|June 19, 2024
A qualitative assessment of using ChatGPT as large language model for scientific workflow developmentMario Sänger, Ninon De Mecquenem, Katarzyna Ewa Lewińska, et al.
Bioinformatics (Oxford, England)|September 20, 2024
HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization toolsMario Sänger, Samuele Garda, Xing David Wang, et al.
JAMIA Open|April 26, 2021
Annotation and initial evaluation of a large annotated German oncological corpusMadeleine Kittner, Mario Lamping, Damian T Rieke, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|October 7, 2025
Knowledge-augmented pre-trained language models for biomedical relation extractionMario Sänger, Ulf Leser
Bioinformatics (Oxford, England)|July 30, 2020
Large-scale entity representation learning for biomedical relationship extractionMario Sänger, Ulf Leser
Database : the Journal of Biological Databases and Curation|November 18, 2022
Chemical-protein relation extraction with ensembles of carefully tuned pretrained language modelsLeon Weber, Mario Sänger, Samuele Garda, et al.
Bioinformatics (Oxford, England)|January 28, 2021
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognitionLeon Weber, Mario Sänger, Jannes Münchmeyer, et al.
Gigascience|June 19, 2024
A qualitative assessment of using ChatGPT as large language model for scientific workflow developmentMario Sänger, Ninon De Mecquenem, Katarzyna Ewa Lewińska, et al.
Bioinformatics (Oxford, England)|September 20, 2024
HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization toolsMario Sänger, Samuele Garda, Xing David Wang, et al.
JAMIA Open|April 26, 2021
Annotation and initial evaluation of a large annotated German oncological corpusMadeleine Kittner, Mario Lamping, Damian T Rieke, et al.
Pageof 1