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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.04911/</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/2311.04911/feed.xml" rel="self" type="application/rss+xml" /><item><title>From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems — mentioned by HannesWes</title><link>https://news.ycombinator.com/item?id=43379640</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.04911:43379640</guid><pubDate>Sun, 16 Mar 2025 15:07:41 GMT</pubDate><description>&lt;p&gt;Really fun to see this shared here! It is one of the most famous examples of rule-based reasoning in the field of AI &amp;amp; Law. The other option is case-based reasoning, where the starting point is cases - see e.g. HYPO [0]. Rule-based reasoning can be very powerful, as understanding and navigating legislation can be challenging and time-consuming. One limitation is overcoming a number of ambiguities, including: - Unclear structure - sometimes, when reading legislation, the logical components of a legal article is not always entirely clear. Language is not like code, and even straightforward…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.04911/"&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>
