Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 4Xin1-01
Conference information

Multi-category Visual Entity Linking Using Wikimedia
*Hiromu MATSUSHIMA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

This research creates a dataset for visual entity linking. Visual entity linking is the task that links objects in an image to an entity in a knowledge base. Visual entity linking makes it possible to use more than just visual information using a knowledge base. However, existing datasets related to visual entity linking have problems with linked entities being at the category level, limited categories, small number of images per entity, and entities being ambiguous. We create a dataset consisting of an entity name, Wikidata ID, and images corresponding to each entity across multiple categories, from Wikimedia Commons. We analyze the dataset and train and evaluate an image recognition model on the created dataset for visual entity linking.

Content from these authors
© 2023 The Japanese Society for Artificial Intelligence
Previous article Next article
feedback
Top