Extracting Attribute Words for Domain Entity Knowledge Base Construction

DOI

10.2991/eeeis-17.2017.75How to use a DOI?

Keywords

Attribute, Entity, Extracting.

Abstract

One of the key problems in the construction of the entity attribute knowledge base for natural language understanding lies in domain attribute words acquisition. It is hardly to get these entity attribute word manually. This paper proposed a method of attribute words acquisition, which could acquire the entity attribute words from corpus automatically. The proposed method extracted a set of candidate attribute words based on the combination rules of part of speech; applied a series of queries in the search engine using the domain concept entity word or the candidate attribute word as the query term; calculated the mutual information values of all the domain concept entity words and the candidate attribute words; output the candidate attribute words whose mutual information value is greater than a specified threshold as the final attribute words. The experimental result showed that the proposed method performance well on the real corpus.

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  - Hong-Lin WU
AU  - Ruo-Yi ZHOU
AU  - Ke WANG
PY  - 2017/09
DA  - 2017/09
TI  - Extracting Attribute Words for Domain Entity Knowledge Base Construction
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 507
EP  - 510
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.75
DO  - 10.2991/eeeis-17.2017.75
ID  - WU2017/09
ER  -