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- W4309189235 abstract "Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge. However, these knowledge bases are highly incomplete. To solve this problem, we propose a web-based question answering system system with multimodal fusion of unstructured and structured information, to fill in missing information for knowledge bases. To utilize unstructured information from the Web for knowledge base completion, we design a web-based question answering system using multimodal features and question templates to extract missing facts, which can achieve good performance with very few questions. To help improve extraction quality, the question answering system employs structured information from knowledge bases, such as entity types and entity-to-entity relatedness." @default.
- W4309189235 created "2022-11-24" @default.
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- W4309189235 creator A5040136142 @default.
- W4309189235 date "2022-11-13" @default.
- W4309189235 modified "2023-09-24" @default.
- W4309189235 title "Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion" @default.
- W4309189235 doi "https://doi.org/10.48550/arxiv.2211.07098" @default.
- W4309189235 hasPublicationYear "2022" @default.
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