A New Neural Search and Insights Platform for Navigating and Organizing AI Research
This provides AI researchers with modern tools for navigating and organizing literature, but it is incremental as it builds on existing search and retrieval methods.
The authors tackled the problem of managing the rapidly growing AI research literature by introducing AI Research Navigator, a platform that combines keyword search with neural retrieval to help researchers discover and organize relevant papers at multiple textual levels, including sentences and document aggregations.
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.