Overview of the Wikipedia Retrieval Task at ImageCLEF 2010

By Adrian Daniel Popescu, T. Tsikrika, J. Kludas. 2010

52 citations recorded by the source corpus.

Subfields: Information Retrieval & Search, Multimodal Learning, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Retrieval & Search

1. Judith Liebetrau
2. Karolin Nagel
3. Stefanie Nowak
4. Lillian Lee
5. David Mimno
6. Jack Hessel
7. Adrian Daniel Popescu

In Multimodal Learning

1. Jack Hessel
2. Lillian Lee
3. Judith Liebetrau
4. David Mimno
5. Karolin Nagel
6. Stefanie Nowak

In Evaluation & Benchmarks

1. Judith Liebetrau
2. Karolin Nagel
3. Stefanie Nowak
4. Lillian Lee
5. David Mimno
6. Jack Hessel
7. Adrian Daniel Popescu
8. David M. Blei

Citations in the corpus

• The CLEF 2011 Photo Annotation and Concept-based Retrieval Tasks (2011, methodology): “Topics, labelled with WR and an abbreviated year, are taken or adapted from the ImageCLEF Wikipedia retrieval tasks. were designed based on web-query logs and because they range from simple to semantic (hence highly difficult) topics as described in [9].”
• Overview of the Wikipedia Image Retrieval Task at ImageCLEF 2011 (2011, background): “Compared to 2010 [11], a larger number of images was provided per topic in order to have an improved visual characterization of the topics and thus to encourage multimodal approaches.”
• Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets (2018, methodology): “We collected a dataset consisting of 192K articles from the English Wikipedia, along with the 549K images contained in those (Popescu et al., 2010), which consists of 137K images associated with English articles.”