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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language-agnostic BERT Sentence Embedding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2007.01852/</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/2007.01852/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language-agnostic BERT Sentence Embedding — mentioned by richdougherty</title><link>https://news.ycombinator.com/item?id=24206457</link><guid isPermaLink="false">urn:hackerpapers:mention:2007.01852:24206457</guid><pubDate>Wed, 19 Aug 2020 02:03:45 GMT</pubDate><description>&lt;p&gt;Paper: https://arxiv.org/abs/2007.01852 &amp;quot;We adapt multilingual BERT to produce language-agnostic sentence embeddings for 109 languages. %The state-of-the-art for numerous monolingual and multilingual NLP tasks is masked language model (MLM) pretraining followed by task specific fine-tuning. While English sentence embeddings have been obtained by fine-tuning a pretrained BERT model, such models have not been applied to multilingual sentence embeddings. Our model combines masked language model (MLM) and translation language model (TLM) pretraining with a translation ranking task using…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2007.01852/"&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>
