论文标题
一个新的神经搜索和见解平台，用于导航和组织AI研究
A New Neural Search and Insights Platform for Navigating and Organizing AI Research
论文作者
论文摘要
为了为AI研究人员提供现代工具来处理其领域研究文献的爆炸性增长，我们介绍了一个新的平台AI研究导航器，该平台将经典关键字搜索与神经检索相结合，以发现和组织相关文献。该系统在文本粒度的多个层面上提供搜索，从句子到跨文档的聚合，无论是自然语言还是通过特定于领域的知识图中的导航。我们概述了系统和组件的整体体系结构，以进行文档分析，问答，搜索，分析，专家搜索和建议。
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.
