<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Neural Attention Model for Abstractive Sentence Summarization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1509.00685/</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/1509.00685/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Neural Attention Model for Abstractive Sentence Summarization — mentioned by guard0g</title><link>https://news.ycombinator.com/item?id=14774298</link><guid isPermaLink="false">urn:hackerpapers:mention:1509.00685:14774298</guid><pubDate>Sat, 15 Jul 2017 00:18:16 GMT</pubDate><description>&lt;p&gt;Sequence-to-sequence attention models: https://github.com/tensorflow/models/tree/master/textsum https://arxiv.org/abs/1509.00685&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1509.00685/"&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>A Neural Attention Model for Abstractive Sentence Summarization — mentioned by peterjliu</title><link>https://news.ycombinator.com/item?id=12360334</link><guid isPermaLink="false">urn:hackerpapers:mention:1509.00685:12360334</guid><pubDate>Thu, 25 Aug 2016 16:28:00 GMT</pubDate><description>&lt;p&gt;The code can be used to train on other data. All you really need is a collection of news articles. I think there are some free ones available. This dataset was only used to benchmark against other published results. It was first proposed in https://arxiv.org/abs/1509.00685.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1509.00685/"&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>
