%0 Conference Paper
%A Can, Duy Cat
%A Ha, Quang Thuy
%A Tran, Mai Vu
%B BioNLP-NAACL 2021
%D 2021
%F SisLab:4493
%T UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4493/
%X This paper describes a system developed to  summarize multiple answers challenge in the  MEDIQA 2021 shared task collocated with the BioNLP 2021 Workshop. We propose an extractive summarization architecture based on several scores and state-of-the-art techniques. We also present our novel prosper-thy-neighbour (PtN) strategies to improve performance. Our model has been proven to  be effective with the best ROUGE-1/ROUGE�L scores, being the shared task runner-up by ROUGE-2 F1 score (over 13 participated teams).