Embedded controlled language to facilitate information extraction from eGov policies
Article No.: 71, Pages 1 - 5
Abstract
The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.
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- Embedded controlled language to facilitate information extraction from eGov policies
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Information & Contributors
Information
Published In
December 2015
704 pages
ISBN:9781450334914
DOI:10.1145/2837185
- General Chair:
- Gabriele Anderst-Kotsis,
- Program Chair:
- Maria Indrawan-Santiago
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Association for Computing Machinery
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Publication History
Published: 11 December 2015
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iiWAS '15
iiWAS '15: The 17th International Conference on Information Integration and Web-based Application & Services
December 11 - 13, 2015
Brussels, Belgium
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