A New Neural Search and Insights Platform for Navigating and Organizing AI Research

• URL: http://arxiv.org/abs/2011.00061v1
• Date: Fri, 30 Oct 2020 19:12:25 GMT
• Title: A New Neural Search and Insights Platform for Navigating and Organizing AI Research
• Authors: Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel
• Abstract summary: We introduce a new platform, AI Research Navigator, that combines classical keyword search with neural retrieval to discover and organize relevant literature. 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.
• Score: 56.65232007953311
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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