2025
ACL
ACL 2025
Shared Task at Biolaysumm2025 : Extract then summarize approach Augmented with UMLS based Definition Retrieval for Lay Summary generation.
Abstract
AbstractThe paper presents a modular, two‐track lay‐summary generation system for biomedical research articles, evaluated on the PLOS and eLife subsets of the BioLaySumm2025 shared task. In Task 1, it extracts salient sentences via an LLM–based chunking and summarization pipeline, then applies iterative rewriting to produce an accessible summary. In Task 2, it augments that summary with UMLS‐sourced definitions identified by a BioBERT NER model, yielding improved readability and factual consistency, at the cost of slight reductions in n‐gram overlap metrics like ROUGE and BLEU.
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Interdisciplinary Bridge
— Artificial Intelligence and Knowledge & Reasoning
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Keyword Pioneer
— biomedical summarization
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing, Reinforcement Learning, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Natural Language Processing > Generation > Summarization
Natural Language Processing > Applications > Information Extraction
Knowledge & Reasoning > Representation > Knowledge Graphs
Healthcare & Medicine > Clinical > Clinical NLP
Healthcare & Medicine > Research > Bioinformatics
Natural Language Processing > Applications > Summarization