Question Answering Mediated by Visual Clues and Knowledge Graphs

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Fabrício F. Faria
  • Ricardo Usbeck
  • Alessio Sarullo
  • Tingting Mu
  • Andre Freitas

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 languageEnglish
Title of host publicationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Number of pages3
PublisherAssociation for Computing Machinery, Inc
Publication date23.04.2018
Pages1937-1939
ISBN (print)9781450356404
DOIs
Publication statusPublished - 23.04.2018
Externally publishedYes
Event27th International World Wide Web, WWW 2018: Bridging natural and artificial intelligence worldwide - Universität Lyon, Lyon, France
Duration: 23.04.201827.04.2018
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.

DOI

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