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/).
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 -