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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SQuAD: 100,000+ Questions for Machine Comprehension of Text · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.05250/</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/1606.05250/feed.xml" rel="self" type="application/rss+xml" /><item><title>SQuAD: 100,000+ Questions for Machine Comprehension of Text — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=16152257</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.05250:16152257</guid><pubDate>Mon, 15 Jan 2018 18:13:26 GMT</pubDate><description>&lt;p&gt;This is not quite human-level question-answering in the everyday sense of those words. The ZDNet headline is too clickbaity for my taste. The answer to every question in the test is a preexisting snippet of text, or &amp;quot;span,&amp;quot; from a corresponding reading passage shown to the model. The model has only to select which span in the reading passage gives the best answer -- i.e., which sequence of words already in the text best answers the question.[a] Actual current results: https://rajpurkar.github.io/SQuAD-explorer/ Paper describing the dataset and test: https://arxiv.org/abs/1606.05250 [a] If…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.05250/"&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>
