<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PRIMA | Language Technologies Lab</title><link>http://nlp.unibo.it/tag/prima/</link><atom:link href="http://nlp.unibo.it/tag/prima/index.xml" rel="self" type="application/rss+xml"/><description>PRIMA</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 12 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>http://nlp.unibo.it/media/icon_hu_7613a4a452ac7087.png</url><title>PRIMA</title><link>http://nlp.unibo.it/tag/prima/</link></image><item><title>PRIMA: PRivacy Infringements Machine-Advice - Final Conference</title><link>http://nlp.unibo.it/news/prima/</link><pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate><guid>http://nlp.unibo.it/news/prima/</guid><description>&lt;h2 id="project-info">Project info&lt;/h2>
&lt;p>PRIMA (PRivacy Infringements Machine-Advice) studies the law and practice of privacy policies, develops methods and techniques for their automated analysis, and implements a prototype to assess their lawfulness.
It deploys legal analytics—a mix of data science, artificial intelligence, machine learning, natural language processing and statistics—to detect and assess privacy policies’ infringements.&lt;/p>
&lt;h2 id="useful-links">Useful Links&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://site.unibo.it/prima/en/project" target="_blank" rel="noopener">Project Page&lt;/a>&lt;/li>
&lt;li>&lt;a href="program.pdf">Workshop Program&lt;/a>&lt;/li>
&lt;li>&lt;a href="explainability-via-highlights.pdf">Federico Ruggeri&amp;rsquo;s Speech&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>