Condensedly: comprehending article contents through condensed texts
Chao-Hsuan Ke, Tsung-Lu Michael Lee, Jung-Hsien Chiang

TL;DR
Condensedly is a web-based tool that uses abstract sentences to efficiently retrieve and rank relevant full-text paragraphs in biomedical articles, saving time and enhancing comprehension.
Contribution
It introduces a paragraph ranking algorithm that links abstract sentences to full-text paragraphs, improving access to detailed information in biomedical literature.
Findings
Effective retrieval of relevant full-text paragraphs
Improved access speed to detailed biomedical information
Enhanced comprehension through ranked paragraph presentation
Abstract
Summary: Abstracts in biomedical articles can provide a quick overview of the articles but detailed information cannot be obtained without reading full-text contents. Full-text articles certainly generate more information and contents; however, accessing full-text documents is usually time consuming. Condensedly is a web-based application, which provides readers an easy and efficient way to access full-text paragraphs using sentences in abstracts as fishing bait to retrieve the big fish reside in full-text. Condensedly is based on the paragraph ranking algorithm, which evaluates and ranks full-text paragraphs based on their association scores with sentences in abstracts. Availability: http://140.116.247.185/~research/Condensedly
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Taxonomy
TopicsAdvanced Text Analysis Techniques · Topic Modeling · Biomedical Text Mining and Ontologies
