Question Answering Mediated by Visual Clues and Knowledge Graphs
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Question Answering Mediated by Visual Clues and Knowledge Graphs. / Faria, Fabrício F.; Usbeck, Ricardo; Sarullo, Alessio et al.
The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, 2018. S. 1937-1939 (The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018; Band 2018-January).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Question Answering Mediated by Visual Clues and Knowledge Graphs
AU - Faria, Fabrício F.
AU - Usbeck, Ricardo
AU - Sarullo, Alessio
AU - Mu, Tingting
AU - Freitas, Andre
N1 - 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.
PY - 2018/4/23
Y1 - 2018/4/23
N2 - 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.
AB - 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.
KW - Gold-standard
KW - Visual Question Answering
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85075418562&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/861375f6-0bfa-36d8-96de-69f6a856325e/
U2 - 10.1145/3184558.3192318
DO - 10.1145/3184558.3192318
M3 - Article in conference proceedings
AN - SCOPUS:85075418562
SN - 9781450356404
T3 - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
SP - 1937
EP - 1939
BT - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PB - Association for Computing Machinery, Inc
T2 - 27th International World Wide Web, WWW 2018
Y2 - 23 April 2018 through 27 April 2018
ER -