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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dynamic Coattention Networks For Question Answering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.01604/</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/1611.01604/feed.xml" rel="self" type="application/rss+xml" /><item><title>Dynamic Coattention Networks For Question Answering — mentioned by alexcnwy</title><link>https://news.ycombinator.com/item?id=32883209</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.01604:32883209</guid><pubDate>Sun, 18 Sep 2022 00:46:08 GMT</pubDate><description>&lt;p&gt;I suspect it’s this model or something similar: https://arxiv.org/abs/1611.01604 Question Answering is a rich area of research in NLP - this is a good place to start: https://paperswithcode.com/task/question-answering&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.01604/"&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>Dynamic Coattention Networks For Question Answering — mentioned by make3</title><link>https://news.ycombinator.com/item?id=16796484</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.01604:16796484</guid><pubDate>Mon, 09 Apr 2018 20:04:30 GMT</pubDate><description>&lt;p&gt;The more useful part about neural net in NLP is that you can train complexe end to end models that end up performing better at their task than anything else composite. An example of this is neural translation with the Attention is all you need paper (https://arxiv.org/abs/1706.03762), which is the top of the line in translation. An other example of this is Microsoft&amp;#x27;s R-NET (https://www.microsoft.com/en-us/research/publication/mrc/), which are the top of the line at question answering (https://rajpurkar.github.io/SQuAD-explorer/) (https://research.fb.com/downloads/babi/) An other cool example…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.01604/"&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>
