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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.10900/</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/1705.10900/feed.xml" rel="self" type="application/rss+xml" /><item><title>Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations — mentioned by KhoomeiK</title><link>https://news.ycombinator.com/item?id=37265296</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.10900:37265296</guid><pubDate>Fri, 25 Aug 2023 18:22:33 GMT</pubDate><description>&lt;p&gt;Please do elaborate! This [1] is pretty much the only succesful use case I&amp;#x27;ve seen so far. The use case in NLP [2] I&amp;#x27;ve seen was a negative result. [1] https://arxiv.org/abs/1802.04443 [2] https://arxiv.org/abs/1705.10900&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.10900/"&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>
