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Found 3 papers, 2 papers with code
Transformer-based Models for Long Document Summarisation in Financial Domain
Summarisation of long financial documents is a challenging task due to the lack of large-scale datasets and the need for domain knowledge experts to create human-written summaries.
Transformer-based Language Models for Factoid Question Answering at BioASQ9b
In this work, we describe our experiments and participating systems in the BioASQ Task 9b Phase B challenge of biomedical question answering.
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
For phase B of the BioASQ9b task, the relevant documents and snippets were already included in the test data.
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