<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Comprehension by Text-to-Text Neural Question Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.02012/</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/1705.02012/feed.xml" rel="self" type="application/rss+xml" /><item><title>Machine Comprehension by Text-to-Text Neural Question Generation — mentioned by damvigilante</title><link>https://news.ycombinator.com/item?id=14892497</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.02012:14892497</guid><pubDate>Mon, 31 Jul 2017 14:51:21 GMT</pubDate><description>&lt;p&gt;This is a pretty cool project! You should take a look at this paper : https://arxiv.org/abs/1705.02012 . Using your heuristics to select the answers, you maybe able to generate some non fill in the blank questions. (All I saw was fill in the blank, not sure if it does other types of questions)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.02012/"&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>
