6533b7ddfe1ef96bd127477b

RESEARCH PRODUCT

Embedded controlled language to facilitate information extraction from eGov policies

Hazem SafwatNormunds GruzitisRamona EnacheBrian Davis

subject

Language identificationNatural language user interfacebusiness.industryComputer scienceNatural language programmingcomputer.software_genrelanguage.human_languageInformation extractionUniversal Networking LanguageControlled natural languageQuestion answeringlanguageArtificial intelligencebusinesscomputerNatural language processingNatural language

description

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.

yearjournalcountryeditionlanguage
2015-12-11Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
https://doi.org/10.1145/2837185.2837238