An NLP based Information Extraction System for Patents

被引：1

作者：

Vahab, Naima ^{[1
]}

Neethu, K., V ^{[1
]}

Binu, R. ^{[1
]}

Mathew, Sinoy ^{[2
]}

Khamari, Lokanath ^{[2
]}

机构：

[1] Govt Engn Coll, Palakkad, Kerala, India

[2] Mol Connect Pvt Ltd, Bangalore, Karnataka, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATICS AND ANALYTICS (ICIA' 16) | 2016年

关键词：

Patents; Patent Classification; NLP methods; Claims; Novelty; RegEx; Information Extraction; OpenNLP;

D O I：

10.1145/2980258.2982100

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Patents are rich source of information related to new technologies, products and methods. Patents contain valuable information which can be used for researchers, business people, scientists etc. In this paper an information extraction system using NLP is implemented for Patents. Users can extract interesting information easily using NLP and rule ensemble approach. Since there is need for important information from the available data, a classification based information extraction is considered here.

引用

页数：3

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