论文标题
使用基于Web的问题回答和多模式融合的知识库完成
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion
论文作者
论文摘要
在过去的几年中，已经建立了大量知识库来存储大量知识。但是，这些知识库高度不完整。为了解决这个问题，我们提出了一个基于网络的问答系统，并通过多模式融合非结构化和结构化信息，以填写知识库的缺失信息。为了利用网络中的非结构化信息进行知识库完成，我们使用多模式功能和问题模板设计了一个基于Web的问题答案系统来提取缺失的事实，这可以在很少的问题中实现良好的性能。为了帮助提高提取质量，问答系统采用来自知识库的结构性信息，例如实体类型和实体到实体相关性。
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.
