Unsupervised Concept Categorization and Extraction from Scientific Document Titles
CIKM, pp. 1339-1348, 2017.
This paper studies the automated categorization and extraction of scientific concepts from titles of scientific articles, in order to gain a deeper understanding of their key contributions and facilitate the construction of a generic academic knowledgebase. Towards this goal, we propose an unsupervised, domain-independent, and scalable tw...More
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