0000000000412020

AUTHOR

Hazem Safwat

showing 2 related works from this author

Embedded controlled language to facilitate information extraction from eGov policies

2015

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.

Language identificationNatural language user interfacebusiness.industryComputer scienceNatural language programmingcomputer.software_genrelanguage.human_languageInformation extractionUniversal Networking LanguageControlled natural languageQuestion answeringlanguageArtificial intelligencebusinesscomputerNatural language processingNatural languageProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
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Extracting Semantic Knowledge from Unstructured Text Using Embedded Controlled Language

2016

Nowadays, most of the data on the Web is still in the form of unstructured text. Knowledge extraction from unstructured text is highly desirable but extremely challenging due to the inherent ambiguity of natural language. In this article, we present an architecture of an information extraction system based on the concept of Embedded Controlled Language that allows for extracting formal semantic knowledge from an unstructured text corpus. Moreover, the presented approach has a potential to support multilingual input and output.

Information retrievalConcept searchNoisy text analyticsbusiness.industryComputer scienceText simplification010401 analytical chemistryText graph02 engineering and technologycomputer.software_genre01 natural scienceslanguage.human_language0104 chemical sciencesInformation extractionControlled natural languageKnowledge extractionExplicit semantic analysis0202 electrical engineering electronic engineering information engineeringlanguage020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerNatural language processing2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
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