scholarly journals Uncertainty Handling in Named Entity Extraction and Disambiguation for Informal Text

2014 ◽  
pp. 309-328 ◽  
Author(s):  
Maurice van Keulen ◽  
Mena B. Habib
Keyword(s):  
Entity Extraction ◽  
Named Entity ◽  
Named Entity Extraction ◽  
Uncertainty Handling

scholarly journals Named Entity Extraction for Knowledge Graphs: A Literature Overview

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 32862-32881 ◽  
Author(s):  
Tareq Al-Moslmi ◽  
Marc Gallofre Ocana ◽  
Andreas L. Opdahl ◽  
Csaba Veres
Keyword(s):  
Entity Extraction ◽  
Named Entity ◽  
Named Entity Extraction ◽  
Literature Overview ◽  
Knowledge Graphs

scholarly journals Unsupervised named-entity extraction from the Web: An experimental study

2005 ◽  
Vol 165 (1) ◽  
pp. 91-134 ◽  
Author(s):  
Oren Etzioni ◽  
Michael Cafarella ◽  
Doug Downey ◽  
Ana-Maria Popescu ◽  
Tal Shaked ◽  
...  
Keyword(s):  
Experimental Study ◽  
Entity Extraction ◽  
Named Entity ◽  
Named Entity Extraction ◽  
The Web

The Study on Enlarging Specific Extractor for Technology-Related Named Entity Extraction from Text Collections of Applied Mechanics Field

2011 ◽  
Vol 145 ◽  
pp. 451-454
Author(s):  
Han Gi Kim ◽  
Kuk Jin Bae ◽  
Eun Sun Kim ◽  
Hyuk Hahn
Keyword(s):  
Planning Process ◽  
General Term ◽  
Entity Extraction ◽  
Machinery Industry ◽  
Named Entity ◽  
Named Entity Extraction ◽  
Term Extraction ◽  
Information Research ◽  
New Business ◽  
Machine Industry

This paper presents additional linguistic factors that should be considered to more effectively extract terms from the machinery industry documents by augmenting the general extraction patterns. We expand on the general term extraction patterns with patterns that are tailored for machinery industry documents to improve precision and recall. We establish a theoretical basis for developing a system to support information research in the machinery industry. Using this system, we expect to increase the efficiency of new business planning process in the machine industry.

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