Le, Hoang Quynh and Vuong, Thi Hai Yen and Nguyen, Minh Trang
(2021)
UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization.
In: BioNLP-NAACL 2021.
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 present
an abstractive summarization model based
on BART, a denoising auto-encoder for pre�training sequence-to-sequence models. As focusing on the summarization of answers to consumer health questions, we propose a query-driven filtering phase to choose useful information from the input document automat�ically. Our approach achieves potential results, rank no.2 (evaluated on extractive references) and no.3 (evaluated on abstractive references)
in the final evaluation.
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