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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ask Me Anything: Dynamic Memory Networks for Natural Language Processing · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1506.07285/</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/1506.07285/feed.xml" rel="self" type="application/rss+xml" /><item><title>Ask Me Anything: Dynamic Memory Networks for Natural Language Processing — mentioned by nschucher</title><link>https://news.ycombinator.com/item?id=12086145</link><guid isPermaLink="false">urn:hackerpapers:mention:1506.07285:12086145</guid><pubDate>Wed, 13 Jul 2016 13:57:42 GMT</pubDate><description>&lt;p&gt;Have you seen the results from Dynamic Memory Networks? [0] The relevant example from the paper: I: Jane went to the hallway. I: Mary walked to the bathroom. I: Sandra went to the garden. I: Daniel went back to the garden. I: Sandra took the milk there. Q: Where is the milk? A: garden Obviously just a toy task, but as you said, progress is rapid! [0]: http://arxiv.org/abs/1506.07285&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1506.07285/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Ask Me Anything: Dynamic Memory Networks for Natural Language Processing — mentioned by Smerity</title><link>https://news.ycombinator.com/item?id=11114125</link><guid isPermaLink="false">urn:hackerpapers:mention:1506.07285:11114125</guid><pubDate>Wed, 17 Feb 2016 00:06:23 GMT</pubDate><description>&lt;p&gt;Model serving in production is a persistent pain point for many ML backends, and is usually done quite poorly, so this is great to see. I&amp;#x27;m expecting large leaps and bounds for TensorFlow itself. This improvement to surrounding infrastructure is a nice surprise, just as TensorBoard is one of the nicest &amp;quot;value-adds&amp;quot; that the original library had[4]. Google have ensured many high quality people have been active as evangelists[3], helping build a strong community and answerbase. While there are still gaps in what the whitepaper[1] promises and what has made it to the open source world[2], it&amp;#x27;s…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1506.07285/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Ask Me Anything: Dynamic Memory Networks for Natural Language Processing — HN submission</title><link>https://news.ycombinator.com/item?id=9796137</link><guid isPermaLink="false">urn:hackerpapers:submission:1506.07285:9796137</guid><pubDate>Mon, 29 Jun 2015 02:39:33 GMT</pubDate><description>&lt;p&gt;Ask Me Anything: Dynamic Memory Networks for Natural Language Processing&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;12 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1506.07285/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Ask Me Anything: Dynamic Memory Networks for Natural Language Processing — HN submission</title><link>https://news.ycombinator.com/item?id=9775538</link><guid isPermaLink="false">urn:hackerpapers:submission:1506.07285:9775538</guid><pubDate>Thu, 25 Jun 2015 01:46:26 GMT</pubDate><description>&lt;p&gt;Ask Me Anything: Dynamic Memory Networks for Natural Language Processing&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;35 points; 5 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1506.07285/"&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>
