Papers › LTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained...
LTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained Generation Models
Ashok Urlana, Nirmal Surange, Manish Shrivastava
The MuP-2022 shared task focuses on multiperspective scientific document summarization. Given a scientific document, with multiple reference summaries, our goal was to develop a model that can produce a generic summary covering as many aspects of the document as covered by all of its reference summaries. This paper describes our best official model, a finetuned BART-large, along with a discussion on the challenges of this task and some of our unofficial models including SOTA generation models. Our submitted model out performedthe given, MuP 2022 shared task, baselines on ROUGE-2, ROUGE-L and average ROUGE F1-scores. Code of our submission can be ac- cessed here.
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