<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Argument Search | Language Technologies Lab</title><link>http://nlp.unibo.it/tag/argument-search/</link><atom:link href="http://nlp.unibo.it/tag/argument-search/index.xml" rel="self" type="application/rss+xml"/><description>Argument Search</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>http://nlp.unibo.it/media/icon_hu_7613a4a452ac7087.png</url><title>Argument Search</title><link>http://nlp.unibo.it/tag/argument-search/</link></image><item><title>Argument Mining In Covid-19 Articles (AMICA)</title><link>http://nlp.unibo.it/projects_national/amica/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>http://nlp.unibo.it/projects_national/amica/</guid><description>&lt;p>The objective of the AMICA project was to exploit the argumentative content present
in the scientific literature regarding Covid-19 to improve the retrieval of relevant and
reliable articles. The project involved both medical and artificial intelligence experts and
aimed to develop an argument mining-based search engine, specifically designed for the
analysis of scientific literature related to Covid-19.&lt;/p></description></item></channel></rss>