  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.
