Unsupervised Concept Categorization and Extraction from Scientific Document Titles

Adit Krishnan
Adit Krishnan
Aravind Sankar
Aravind Sankar

CIKM, pp. 1339-1348, 2017.

Cited by: 2|Bibtex|Views5|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments