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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Style transfer and classification in hebrew news items · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.03019/</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/2212.03019/feed.xml" rel="self" type="application/rss+xml" /><item><title>Style transfer and classification in hebrew news items — mentioned by omerhac</title><link>https://news.ycombinator.com/item?id=40889748</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.03019:40889748</guid><pubDate>Sat, 06 Jul 2024 11:28:05 GMT</pubDate><description>&lt;p&gt;Cool blog, thanks! I did a similar project a couple of years ago for a university course, only I also added style transfer, it turned out pretty cool. I scraped a bunch of news data together with it&amp;#x27;s news section and trained a self attention language model from scratch, turned out pretty hilarious. Data was in Hebrew, which is a challenge to tokenize because of the morphology. I posted it on ArXiV if someone&amp;#x27;s interested in the style transfer and tokenization process: https://arxiv.org/abs/2212.03019&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.03019/"&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>
