A novel self-attention enriching mechanism for biomedical question answering

Author:

Kaddari ZakariaORCID,Bouchentouf Toumi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. Aken, v., Winter, B., Löser, A., & A. Gers, F. (2019). How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (pp. 1823–1832). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3357384.3358028.

2. Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques;Alrowili,2022

3. OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders;Amberger;Nucleic Acids Research,2015

4. UniProt: The Universal Protein knowledgebase;Apweiler;Nucleic Acids Research,2004

5. Aronson, A. (2001). Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. In Proceedings. AMIA Symposium, (pp. 17–21). https://pubmed.ncbi.nlm.nih.gov/11825149.

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