Image Retrieval for Arguments

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Title Image Retrieval for Arguments
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.
Keywords NLP, MLProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user.
TimeFrame
References https://touche.webis.de/clef22/touche22-web/image-retrieval-for-arguments.html
Prerequisites ML, Python
Author
Supervisor Pablo Picazo
Level Master
Status Draft


A full description of the project can be found: https://touche.webis.de/clef22/touche22-web/image-retrieval-for-arguments.html

Synopsis:

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]


Data:

This task uses a focused crawl of about 20,000 images (and associated web pages) as document collection. See the collection's README for more information on its contents and file formats.


Evaluation

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).

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