Abstract
This challenge focuses on the use of semantic representation methods to support Visual Question Answering: given a large image collection, find a set of images matching natural language queries. The task supports advancing the state-of-the-art in Visual Question Answering by focusing on methods which explore the interplay between contemporary machine learning techniques, semantic representation and reasoning mechanisms.
| Original language | English |
|---|---|
| Title of host publication | The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018 |
| Number of pages | 3 |
| Publisher | Association for Computing Machinery, Inc |
| Publication date | 23.04.2018 |
| Pages | 1937-1939 |
| ISBN (Print) | 9781450356404 |
| DOIs | |
| Publication status | Published - 23.04.2018 |
| Externally published | Yes |
| Event | 27th International World Wide Web, WWW 2018: Bridging natural and artificial intelligence worldwide - Universität Lyon, Lyon, France Duration: 23.04.2018 → 27.04.2018 https://archives.iw3c2.org/www2018/ |
Bibliographical note
This work has been supported by the BMVI projects LIMBO (project no. 19F2029C) and OPAL (project no. 19F20284) as well as by the German Federal Ministry of Education and Research (BMBF) within ’KMU-innovativ: Forschung für die zivile Sicherheit’ in particular ’Forschung für die zivile Sicherheit’ and the project SOLIDE (no. 13N14456). Furthermore, we would like to thank the annotators Ria Hari Gusmati, Rricha Jalota, Paramjot Kaur, Hussain Abid Syed and Jan Reineke.Publisher Copyright:
© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
Research areas and keywords
- Gold-standard
- Visual Question Answering
- Informatics
- Business informatics
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