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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1810.02720/</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/1810.02720/feed.xml" rel="self" type="application/rss+xml" /><item><title>TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation — mentioned by patternmaster</title><link>https://news.ycombinator.com/item?id=19609082</link><guid isPermaLink="false">urn:hackerpapers:mention:1810.02720:19609082</guid><pubDate>Mon, 08 Apr 2019 21:11:03 GMT</pubDate><description>&lt;p&gt;Chain a text-to-speech component to tranx and you&amp;#x27;re done Paper: https://arxiv.org/pdf/1810.02720v1.pdf Code: https://github.com/pcyin/tranX Live demo (try Django out): http://moto.clab.cs.cmu.edu:8081/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1810.02720/"&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>
