arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.00061cs.CLcs.IR
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A New Neural Search and Insights Platform for Navigating and Organizing AI Research

Zeta Alpha(泽塔阿尔法)

Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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