TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature
- 1 May 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 117, 103767
- https://doi.org/10.1016/j.jbi.2021.103767
Abstract
No abstract availableFunding Information
- State Scholarships Foundation
This publication has 20 references indexed in Scilit:
- EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literatureArtificial Intelligence in Medicine, 2020
- Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksPublished by INSTICC ,2020
- Extractive summarization of clinical trial descriptionsInternational Journal of Medical Informatics, 2019
- A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureProceedings of the conference. Association for Computational Linguistics. Meeting, 2018
- Deep Contextualized Word RepresentationsPublished by Association for Computational Linguistics (ACL) ,2018
- Toward Artificial ArgumentationAI Magazine, 2017
- From Argument Diagrams to Argumentation Mining in TextsInternational Journal of Cognitive Informatics and Natural Intelligence, 2013
- Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?PLoS Medicine, 2010
- Combining classifiers for robust PICO element detectionBMC Medical Informatics and Decision Making, 2010
- Estimating Time to Conduct a Meta-analysis From Number of Citations RetrievedJAMA, 1999