Research on Neologism Detection in Entity Attribute Knowledge Acquisition

DOI

10.2991/icmmct-17.2017.142How to use a DOI?

Keywords

Neologism Detection; Entity Attribute; Knowledge Acquisition

Abstract

According to the requirements for the construction of the knowledge system of the entity attribute framework, the acquisition of attributes is extracted from large-scale real corpus. Real corpus must contain neologisms which cannot be identified by word segmentation program. This paper proposed a method of Chinese neologism detection which can discovery new words in real corpus, and can be used to revise the initial results of the word segmentation. The experimental result showed that the proposed method performance well on the real corpus of different fields, and may provide more accurate input for subsequent processing.

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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TY  - CONF
AU  - Ke Wang
AU  - HongLin Wu
PY  - 2017/04
DA  - 2017/04
TI  - Research on Neologism Detection in Entity Attribute Knowledge Acquisition
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 690
EP  - 693
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.142
DO  - 10.2991/icmmct-17.2017.142
ID  - Wang2017/04
ER  -