학술논문

Improving Communication in E-democracy Using Natural Language Processing
Document Type
Periodical
Source
IEEE Intelligent Systems IEEE Intell. Syst. Intelligent Systems, IEEE. 22(1):20-27 Jan, 2007
Subject
Computing and Processing
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Natural language processing
Testing
Context
Urban planning
Content based retrieval
Cities and towns
Design engineering
Laboratories
Information analysis
Humans
e-democracy
natural language processing
parsing
human-computer interaction
public administrations
Language
ISSN
1541-1672
1941-1294
Abstract
The e-Democracy European Network (EDEN) sought to apply natural language processing technologies in e-democracy. EDEN improved communication between public administrations and citizens by improving information access and helping citizens make informed decisions. The main focus, however, was on using a particular NLP approach (Augmented Phrase Structure Grammar) and the factors that helped and hindered its rapid deployment in an e-democracy environment. Although the linguistic resources were highly reusable, EDEN had difficulty building a shared understanding of what NLP could and should accomplish to meet the project's aims. Even when the partners acutely recognized the need for such mutual understanding, the lack of it led to delays and jeopardized project success.