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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1911.10470/</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/1911.10470/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering — HN submission</title><link>https://news.ycombinator.com/item?id=22421255</link><guid isPermaLink="false">urn:hackerpapers:submission:1911.10470:22421255</guid><pubDate>Wed, 26 Feb 2020 08:02:11 GMT</pubDate><description>&lt;p&gt;Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering&lt;/p&gt;&lt;p&gt;To achieve state-of-the-art on HotpotQA, this paper learns graph-based recurrent retrieval method for reasoning paths over Wiki graph. Paper: https://arxiv.org/abs/1911.10470 Listen: https://youtu.be/flBlTcLVErc Authors: Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher &amp;amp; Caiming Xiong; University of Washington Salesforce Research Allen Institute for Artificial Intelligence Abstract: Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationship to the…&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1911.10470/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
