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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Decomposable Attention Model for Natural Language Inference · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.01933/</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/1606.01933/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Decomposable Attention Model for Natural Language Inference — mentioned by eggie5</title><link>https://news.ycombinator.com/item?id=15939219</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01933:15939219</guid><pubDate>Sat, 16 Dec 2017 12:17:59 GMT</pubDate><description>&lt;p&gt;This paper has a lot of prerequisites to understand. A good paper to read is precursor to this paper released a year ago: https://arxiv.org/abs/1606.01933&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01933/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
