Dec 6, 2023 · In conclusion, we proposed a novel attention- based citation aggregation model that incorporates domain-specific knowledge from citation papers.

Oct 24, 2023 · This paper aims to enhance the performance of language models in biomedical abstractive summarisation by aggregating knowledge from external papers.

This paper aims to enhance the performance of language models in biomedical abstractive summarisation by aggregating knowledge from external papers cited within ...

Feb 26, 2024 · PDF | On Jan 1, 2023, Chen Tang and others published Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation ...

Abstract: Embodiments described herein provide document summarization systems and methods that utilize fine-tuning of pre-trained abstractive summarization ...

Oct 24, 2023 · This paper aims to enhance the performance of language models in biomedical abstractive summarisation by ag- gregating knowledge from external ...

Co-authors ; Improving biomedical abstractive summarisation with knowledge aggregation from citation papers. C Tang, S Wang, T Goldsack, C Lin. arXiv preprint ...

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers Chen Tang | Shun Wang | Tomas Goldsack | Chenghua Lin

This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted ...

C Tang, S Wang, T Goldsack, C Lin (2023). Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. Proceedings of the ...