Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

Automatic Indexing of Patent Right-claiming Document Based on Deep Learning

Authors
Qinghong Zhong, Xiaodong Qiao, Yunliang Zhang
Corresponding Author
Qinghong Zhong
Available Online May 2018.
DOI
10.2991/ammsa-18.2018.28How to use a DOI?
Keywords
deep learning; word2vec; k-means; automatic indexing; keyword extraction
Abstract

In recent years, there have been more and more applications of deep learning in natural language processing, and people have paid more and more attention to the value embodied in patent. In this paper, based on the value of right-claiming document in the patent, a deep learning tool word2vec is used to convert text information into a set of word embeddings. The word embeddings carry semantic information, so that the quantified metrics the relationships between words. Then, the k-means clustering method is used to extract words whose distance between words is closer to the center of the cluster, so as to achieve the purpose of automatic indexing the right-claiming document.

Copyright
© 2018, 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 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-529-0
ISSN
1951-6851
DOI
10.2991/ammsa-18.2018.28How to use a DOI?
Copyright
© 2018, 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  - Qinghong Zhong
AU  - Xiaodong Qiao
AU  - Yunliang Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Automatic Indexing of Patent Right-claiming Document Based on Deep Learning
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 135
EP  - 139
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.28
DO  - 10.2991/ammsa-18.2018.28
ID  - Zhong2018/05
ER  -