Text Mining by Pseudo-Natural Language Understanding

Text Mining by Pseudo-Natural Language Understanding

Author: 
Lu, Ruqian
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2008
Editor: 
Wang, John
Journal Title: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Source: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Abstract: 

Text mining by pseudo natural language understanding (TM by PNLU for short) is a technique developed by the AST group of Chinese Academy of Sciences, as part of the project automatic knowledge acquisition by PNLU, which introduces a partial parse technique to avoid the difficulty of full NLU. It consists of three parts: PNL design, PNL parser implementation and PNLU based automatic knowledge acquisition. Its essence is twofold: a trade-off between information gain and feasibility of parsing, and a rational work division between human and computer.

CITATION: Lu, Ruqian. Text Mining by Pseudo-Natural Language Understanding edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/text-mining-pseudo-natural-language-understanding