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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1908.08184/</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/1908.08184/feed.xml" rel="self" type="application/rss+xml" /><item><title>Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System — mentioned by ArtWomb</title><link>https://news.ycombinator.com/item?id=20799673</link><guid isPermaLink="false">urn:hackerpapers:mention:1908.08184:20799673</guid><pubDate>Mon, 26 Aug 2019 13:26:49 GMT</pubDate><description>&lt;p&gt;Knowledge graphs are enjoying a renaissance in AI research. Perhaps due to their success in Game AI and Goal Oriented Action Planning. And this academic paper graph looked like one of the more &amp;quot;pure&amp;quot; datasets. The quality of the agent depends on the input clearly. And machine understanding of academic research is certainly a problem rich in potential rewards. Linked below are the results of a challenge to &amp;quot;solve&amp;quot; a Sherlock Holmes mystery based only on the text! One of the entries involved constructing a knowledge graph of all potential suspects in the entire Conan Doyle corpus ;) Report on…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1908.08184/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
