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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Fast Unified Model for Parsing and Sentence Understanding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.06021/</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/1603.06021/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Fast Unified Model for Parsing and Sentence Understanding — mentioned by gradys</title><link>https://news.ycombinator.com/item?id=12593788</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.06021:12593788</guid><pubDate>Tue, 27 Sep 2016 22:35:04 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;d extend hypothesis #2. We might not have a sufficiently high-quality theory, but we might also not know how to integrate the benefits of the theory we have with the benefits of data-driven approaches to NLP like those described in this paper. It&amp;#x27;s clear to me that data-driven techniques are an essential part of the answer to the problem of language understanding. It&amp;#x27;s infeasible to design a complete set of rules for understanding natural language with all its exceptions and fuzzy relationships. I&amp;#x27;d point to Wittgenstein for a stronger philosophical argument on this. That&amp;#x27;s not to say that…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.06021/"&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>
