Literature DB >> 21493658

Figure summarizer browser extensions for PubMed Central.

Shashank Agarwal1, Hong Yu.   

Abstract

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.

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Year:  2011        PMID: 21493658      PMCID: PMC3106188          DOI: 10.1093/bioinformatics/btr194

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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3.  Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion.

Authors:  Shashank Agarwal; Hong Yu
Journal:  Bioinformatics       Date:  2009-09-25       Impact factor: 6.937

4.  FigSum: automatically generating structured text summaries for figures in biomedical literature.

Authors:  Shashank Agarwal; Hong Yu
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

5.  Are figure legends sufficient? Evaluating the contribution of associated text to biomedical figure comprehension.

Authors:  Hong Yu; Shashank Agarwal; Mark Johnston; Aaron Cohen
Journal:  J Biomed Discov Collab       Date:  2009-01-06
  5 in total
  1 in total

1.  Figure-associated text summarization and evaluation.

Authors:  Balaji Polepalli Ramesh; Ricky J Sethi; Hong Yu
Journal:  PLoS One       Date:  2015-02-02       Impact factor: 3.240

  1 in total

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