Condensedly: comprehending article contents through condensed texts
This tool addresses the time-consuming challenge of accessing full-text documents for researchers and readers in biomedical fields, though it is incremental as it builds on existing retrieval and ranking methods.
The authors tackled the problem of efficiently accessing detailed information from full-text biomedical articles by developing Condensedly, a web-based application that uses sentences from abstracts to retrieve and rank relevant full-text paragraphs, enabling quicker access to detailed content without reading entire articles.
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