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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Convolution for Multimodal Information Extraction from Visually Rich Documents · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1903.11279/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1903.11279/feed.xml" rel="self" type="application/rss+xml" /><item><title>Graph Convolution for Multimodal Information Extraction from Visually Rich Documents — mentioned by lovelearning</title><link>https://news.ycombinator.com/item?id=25514817</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11279:25514817</guid><pubDate>Wed, 23 Dec 2020 05:53:15 GMT</pubDate><description>&lt;p&gt;A routine automation task is information extraction from any kind of document with a visual layout - receipts, PDFs, web pages. [1] [2] [1] : https://nanonets.com/blog/information-extraction-graph-convo... [2] : https://arxiv.org/pdf/1903.11279.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11279/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IR</category></item></channel></rss>
