English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The volume of academic literature, such as academic conference papers andjournals, has increased rapidly worldwide, and research on metadata extractionis ongoing. However, high-performing metadata extraction is still challengingdue to diverse layout formats according to journal publishers. To accommodatethe diversity of the layouts of academic journals, we propose a novelLAyout-aware Metadata Extraction (LAME) framework equipped with the threecharacteristics (e.g., design of an automatic layout analysis, construction ofa large meta-data training set, and construction of Layout-MetaBERT). Wedesigned an automatic layout analysis using PDFMiner. Based on the layoutanalysis, a large volume of metadata-separated training data, including thetitle, abstract, author name, author affiliated organization, and keywords,were automatically extracted. Moreover, we constructed Layout-MetaBERT toextract the metadata from academic journals with varying layout formats. Theexperimental results with Layout-MetaBERT exhibited robust performance(Macro-F1, 93.27%) in metadata extraction for unseen journals with differentlayout formats.

LAME: Layout Aware Metadata Extraction Approach for Research Articles