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	<id>https://mw.hh.se/caisr/index.php?action=history&amp;feed=atom&amp;title=Image_Retrieval_for_Arguments</id>
	<title>Image Retrieval for Arguments - Revision history</title>
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	<updated>2026-04-04T13:42:56Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://mw.hh.se/caisr/index.php?title=Image_Retrieval_for_Arguments&amp;diff=5104&amp;oldid=prev</id>
		<title>Cclab: Created page with &quot;{{StudentProjectTemplate |Summary=Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance. |Ke...&quot;</title>
		<link rel="alternate" type="text/html" href="https://mw.hh.se/caisr/index.php?title=Image_Retrieval_for_Arguments&amp;diff=5104&amp;oldid=prev"/>
		<updated>2022-10-03T06:39:01Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{StudentProjectTemplate |Summary=Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance. |Ke...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{StudentProjectTemplate&lt;br /&gt;
|Summary=Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance.&lt;br /&gt;
|Keywords=NLP, ML&lt;br /&gt;
|References=https://touche.webis.de/clef22/touche22-web/image-retrieval-for-arguments.html&lt;br /&gt;
&lt;br /&gt;
|Prerequisites=ML, Python&lt;br /&gt;
|Supervisor=Pablo Picazo, &lt;br /&gt;
|Level=Master&lt;br /&gt;
|Status=Draft&lt;br /&gt;
}}&lt;br /&gt;
A full description of the project can be found: https://touche.webis.de/clef22/touche22-web/image-retrieval-for-arguments.html&lt;br /&gt;
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Synopsis:&lt;br /&gt;
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Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance. [forum]&lt;br /&gt;
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Data:&lt;br /&gt;
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This task uses a focused crawl of about 20,000 images (and associated web pages) as document collection. See the collection&amp;#039;s README for more information on its contents and file formats.&lt;br /&gt;
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Evaluation&lt;br /&gt;
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Systems are evaluated on Touché topics 1–50 by the ratio of images among the 20 retrieved images for each topic (10 images for each stance) that are all three: relevant to the topic, argumentative, and have the associated stance. The file format is explained in the README).&lt;/div&gt;</summary>
		<author><name>Cclab</name></author>
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