eprintid: 4493
rev_number: 6
eprint_status: archive
userid: 383
dir: disk0/00/00/44/93
datestamp: 2021-06-20 05:07:22
lastmod: 2021-06-20 05:07:22
status_changed: 2021-06-20 05:07:22
type: conference_item
metadata_visibility: show
creators_name: Can, Duy Cat
creators_name: Ha, Quang Thuy
creators_name: Tran, Mai Vu
creators_id: catcd@vnu.edu.vn
creators_id: thuyhq@vnu.edu.vn
creators_id: vutm@vnu.edu.vn
title: UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model
ispublished: pub
subjects: ElectronicsandComputerEngineering
divisions: fac_fit
abstract: 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).
date: 2021
date_type: published
full_text_status: none
pres_type: poster
event_title: BioNLP-NAACL 2021
event_type: workshop
refereed: TRUE
citation:   Can, Duy Cat and Ha, Quang Thuy and Tran, Mai Vu  (2021) UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model.  In: BioNLP-NAACL 2021.