<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Legal Analytics | Language Technologies Lab</title><link>http://nlp.unibo.it/proposals_legal/</link><atom:link href="http://nlp.unibo.it/proposals_legal/index.xml" rel="self" type="application/rss+xml"/><description>Legal Analytics</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 02 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>http://nlp.unibo.it/media/icon_hu_7613a4a452ac7087.png</url><title>Legal Analytics</title><link>http://nlp.unibo.it/proposals_legal/</link></image><item><title>Argument Mining on Legal Datasets</title><link>http://nlp.unibo.it/proposals_legal/am/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>http://nlp.unibo.it/proposals_legal/am/</guid><description>&lt;p>&lt;strong>Description:&lt;/strong>&lt;br>
Argumentation in legal documents is typically well-structured and follows specific domain rules.
We are interested in applying both the most recent NLP techniques and also hybrid techniques that can leverage the domain knowledge.&lt;/p>
&lt;p>&lt;strong>Contact:&lt;/strong> &lt;a href="mailto:a.galassi@unibo.it">Andrea Galassi&lt;/a>, &lt;a href="mailto:marco.lippi@unifi.it">Marco Lippi&lt;/a>&lt;/p></description></item><item><title>Transformers and LLMs for the detection and classification of unfair clauses</title><link>http://nlp.unibo.it/proposals_legal/unfairclauses/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>http://nlp.unibo.it/proposals_legal/unfairclauses/</guid><description>&lt;p>&lt;strong>Description:&lt;/strong>&lt;br>
For several years, we have been working on tools for the automatic detection of unfair clauses in Terms of Services and Privacy Policies documents in the English language (see CLAUDETTE and PRIMA &lt;a href="http://nlp.unibo.it/projects">Projects page&lt;/a>).
We have already conducted several studies on this topic, and we are interested in applying new effective methods and techniques.
Right now, we are focused on LLMs, but we are also interested in alternative techniques.&lt;/p>
&lt;p>&lt;strong>Contact:&lt;/strong> &lt;a href="mailto:galassi@unibo.it">Andrea Galassi&lt;/a>, &lt;a href="mailto:marco.lippi@unifi.it">Marco Lippi&lt;/a>&lt;/p></description></item></channel></rss>