To provide AI researchers with modern tools for dealing with the explosive growth of the research literature in their field, we introduce a new platform, AI Research Navigator, that combines classical keyword search with neural retrieval to discover and organize relevant literature. The system provides search at multiple levels of textual granularity, from sentences to aggregations across documents, both in natural language and through navigation in a domain-specific Knowledge Graph. We give an overview of the overall architecture of the system and of the components for document analysis, question answering, search, analytics, expert search, and recommendations.
翻译:为了向大赦国际研究人员提供现代工具,处理其领域研究文献爆炸性增长的问题,我们引入了一个新的平台,即AI研究导航器,将古典关键词搜索与神经检索结合起来,以发现和组织相关文献,该系统提供从文字颗粒的多种层次的搜索,从句子到文件的汇总,既用自然语言,又用特定领域的知识图进行导航。我们概述了系统的总体结构以及文件分析、问答、搜索、分析、专家搜索和建议的构成部分。