Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Improvement of Graph based Named Entity Disambiguation

Authors
Xiao Yang, Su-Juan Qin
Corresponding Author
Xiao Yang
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.177How to use a DOI?
Keywords
named entity disambiguation; graph ranking; LSI; PageRank.
Abstract

Named entity disambiguation (NED) is the task that mapping the named entities appearing in the text to their correct corresponding in the knowledge bases (KB). This paper presented a disambiguation approach based mainly on graph ranking by combining the PageRank and LSI(Latent Semantic Index) model. Experiments on 27,819 named entities showed the effectiveness of using, and the accuracy is higher than the state-of-art methods.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.177How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao Yang
AU  - Su-Juan Qin
PY  - 2017/01
DA  - 2017/01
TI  - Improvement of Graph based Named Entity Disambiguation
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 960
EP  - 963
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.177
DO  - 10.2991/icmmita-16.2016.177
ID  - Yang2017/01
ER  -