<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Semantic Neural Machine Translation using AMR · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1902.07282/</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/1902.07282/feed.xml" rel="self" type="application/rss+xml" /><item><title>Semantic Neural Machine Translation using AMR — mentioned by orange3xchicken</title><link>https://news.ycombinator.com/item?id=23312969</link><guid isPermaLink="false">urn:hackerpapers:mention:1902.07282:23312969</guid><pubDate>Tue, 26 May 2020 16:14:07 GMT</pubDate><description>&lt;p&gt;It looks like they go from tree -&amp;gt; sequence via prefix notation. I&amp;#x27;m curious why Lample decided on this seq2seq approach when it seems that there might be models which could be more naturally applied to the tree structure directly [1, 2] [1] https://arxiv.org/abs/1902.07282 (an AST translation system) [2] https://arxiv.org/abs/1609.02907 (GCNN)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1902.07282/"&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>
