Microsoft Academic Graph: When experts are not enough

An ongoing project explores the extent to which artificial intelligence (AI), specifically in the areas of natural language processing and semantic reasoning, can be exploited to facilitate the studies of science by deploying software agents equipped with natural language understanding capabilities...

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Veröffentlicht in:	Quantitative science studies 2020-02, Vol.1 (1), p.396-413
Hauptverfasser:	Wang, Kuansan, Shen, Zhihong, Huang, Chiyuan, Wu, Chieh-Han, Dong, Yuxiao, Kanakia, Anshul
Format:	Artikel
Sprache:	eng
Schlagworte:	Agents (artificial intelligence) Artificial intelligence citation networks Datasets eigenvector centrality measure Graph theory Information processing knowledge graph Language Natural language Natural language processing research assessments saliency ranking Scholarly communication scholarly database Software Software agents
Online-Zugang:	Volltext
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