sCAKE: Semantic Connectivity Aware Keyword Extraction-Reference-Cited by-同舟云学术

sCAKE: Semantic Connectivity Aware Keyword Extraction

Published:2019-03 Issue: Volume:477 Page:100-117
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Duari Swagata^ORCID,Bhatnagar Vasudha^ORCID

Funder

University of Delhi,

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. The NLM Indexing Initiative;Aronson,2000

2. Graph-based term weighting for information retrieval;Blanco;Inf. Retr. Boston,2012

3. Probabilistic models for automatic indexing;Bookstein;JAIST,1974

4. A comparison of centrality measures for graph-based keyphrase extraction;Boudin,2013

5. Unsupervised keyphrase extraction with multipartite graphs;Boudin,2018

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