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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>How to Generate a Good Word Embedding? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1507.05523/</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/1507.05523/feed.xml" rel="self" type="application/rss+xml" /><item><title>How to Generate a Good Word Embedding? — mentioned by cgravier</title><link>https://news.ycombinator.com/item?id=15548431</link><guid isPermaLink="false">urn:hackerpapers:mention:1507.05523:15548431</guid><pubDate>Wed, 25 Oct 2017 08:37:45 GMT</pubDate><description>&lt;p&gt;Thank you Sebastian. Keep up the great work ! You will note that negative sampling improved by leveraging information on word pairs form dictionaries entries (we called it &amp;quot;controlled negative sampling&amp;quot;) do help, though not much. It actually really depends in the rare words rate (see section 5.4, improvement ranges from 0.7% up to 10%). But I guess it is already an interesting, somehow counter-intuitive, observation. Another very interesting observation is that you can also choose to just clamp a general purpose dataset and expand it with external contextual information (meaning not using is…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1507.05523/"&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>
