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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automatic Text Scoring Using Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.04289/</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/1606.04289/feed.xml" rel="self" type="application/rss+xml" /><item><title>Automatic Text Scoring Using Neural Networks — mentioned by jkdufair</title><link>https://news.ycombinator.com/item?id=20838430</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.04289:20838430</guid><pubDate>Fri, 30 Aug 2019 13:35:37 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s an internal grant and I&amp;#x27;m not sure I&amp;#x27;d be allowed to share it. We are adding AES to our peer-review app. Currently as an additional &amp;quot;grader&amp;quot; to the peer reviews since that&amp;#x27;s what the PI requested. Since the tool allows unlimited submissions until the review date, I hope to add it as a &amp;quot;pre-flight&amp;quot; estimate to give students a chance to get a rough prediction of the score they will receive and a metric they can use as they revise until the due date. I&amp;#x27;m not aware of any meta-analyses myself. I have been keeping up with the ASAP competition and various attempts to improve on the initial…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.04289/"&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>
