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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1505.07909/</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/1505.07909/feed.xml" rel="self" type="application/rss+xml" /><item><title>Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding — mentioned by Houshalter</title><link>https://news.ycombinator.com/item?id=10818084</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.07909:10818084</guid><pubDate>Thu, 31 Dec 2015 15:57:20 GMT</pubDate><description>&lt;p&gt;Here is the most up to date version of the paper: http://arxiv.org/pdf/1505.07909.pdf The questions on the IQ test are very specific. Word analogies, identifying antonyms, synonyms, and which word isn&amp;#x27;t like the others. The method they use is similar to word2vec. That is, it does statistics on millions of words and how they occur in sentences to try to create a vector representation of it. These vector representations include a lot of semantic information about the words and what they mean, which makes it possible for the computer to do these tests automatically. They then compared it&amp;#x27;s…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.07909/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding — mentioned by mbq</title><link>https://news.ycombinator.com/item?id=10817767</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.07909:10817767</guid><pubDate>Thu, 31 Dec 2015 14:57:06 GMT</pubDate><description>&lt;p&gt;This is only for certain, verbal questions like antonym of, synonym of, X is to Y as Z to what; for each of them a separate, specific model was built (not that the AI read the question and printed relevant answer). To sum up, the paper should be titled &amp;quot;Dictionary is better than MechTurk users on look-in-dictionary tasks.&amp;quot; Link to the original paper: http://arxiv.org/pdf/1505.07909v1.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.07909/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding — HN submission</title><link>https://news.ycombinator.com/item?id=9716910</link><guid isPermaLink="false">urn:hackerpapers:submission:1505.07909:9716910</guid><pubDate>Mon, 15 Jun 2015 00:52:00 GMT</pubDate><description>&lt;p&gt;Solving Verbal Comprehension Questions in IQ Test by Word Embedding&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1505.07909/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding — HN submission</title><link>https://news.ycombinator.com/item?id=9709529</link><guid isPermaLink="false">urn:hackerpapers:submission:1505.07909:9709529</guid><pubDate>Sat, 13 Jun 2015 01:42:50 GMT</pubDate><description>&lt;p&gt;Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;80 points; 21 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1505.07909/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
