Author disambiguation using wikipedia-based explicit semantic analysis

Authors:
In-Su Kang
Affiliations:
School of Computer Science & Engineering, Kyungsung University, Pusan, South Korea
Venue:
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Year:
2012

Citing 4
Cited 0

Efficient topic-based unsupervised name disambiguation

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Using web information for author name disambiguation

Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Overcoming the brittleness bottleneck using wikipedia: enhancing text categorization with encyclopedic knowledge

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A Wikipedia-based multilingual retrieval model

ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

Author disambiguation suffers from the shortage of topical terms to identify authors. This study attempts to augment term-based topical representation of authors with the concept-based one obtained from Wikipedia-based explicit semantic analysis (ESA). Experiments showed that the use of additional ESA concepts improves author-resolving performance by 13.5%.