Image Retrieval for Arguments
| 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, ML |
| 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).
