Extraction of relevant figures and tables for multi-document summarization
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
| Hi-index | 3.84 |
Summary: Figures in biomedical articles present visual evidence for research facts and help readers understand the article better. However, when figures are taken out of context, it is difficult to understand their content. We developed a summarization algorithm to summarize the content of figures and used it in our figure search engine ( http://figuresearch.askhermes.org/). In this article, we report on the development of web browser extensions for Mozilla Firefox, Google Chrome and Apple Safari to display summaries for figures in PubMed Central and NCBI Images. Availability: The extensions can be downloaded from http://figuresearch.askhermes.org/articlesearch/extensions.php. Contact: agarwal@uwm.edu