Semantic Information Extraction using Deep Learning

使用深度学习进行语义信息提取

• 批准号: 2078546
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2078546
• 关键词: Semantic; Information; Extraction; using; Deep

Semantic Information Retrieval The research will focus on extraction of meaningful and actionable information from bigdata by developing novel algorithms in areas of machine learning and information theory. There will be two main focuses(1) extract semantic attribute and relationship between attributes as well as semantic captions for given multimedia input,(2) given semantic attributes or caption, retrieve relevant multimedia files from databases. A typical AI algorithm classifiesinputs into different predefined classes and suppresses visual information which is irrelevant to predefined classes.Extraction of semantic captions will allow AI algorithms to build a much richer representation of the underlying visual data.

语义信息检索研究将专注于通过开发机器学习和信息论领域的新算法，从大数据中提取有意义和可操作的信息。本文的主要工作有两个：（1）对给定的多媒体输入提取语义属性和属性之间的关系以及语义字幕;（2）给定语义属性或字幕，从数据库中检索相关的多媒体文件。典型的人工智能算法将输入分类到不同的预定义类别中，并抑制与预定义类别无关的视觉信息。提取语义字幕将允许人工智能算法构建更丰富的底层视觉数据表示。