Arabic open information extraction system using dependency parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AGM63P8VN" target="_blank" >RIV/00216208:11320/22:GM63P8VN - isvavai.cz</a>
Result on the web
<a href="https://ijece.iaescore.com/index.php/IJECE/article/view/24343" target="_blank" >https://ijece.iaescore.com/index.php/IJECE/article/view/24343</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11591/ijece.v12i1.pp541-551" target="_blank" >10.11591/ijece.v12i1.pp541-551</a>
Alternative languages
Result language
angličtina
Original language name
Arabic open information extraction system using dependency parsing
Original language description
Arabic is a Semitic language and one of the most natural languages distinguished by the richness in morphological enunciation and derivation. This special and complex nature makes extracting information from the Arabic language difficult and always needs improvement. Open information extraction systems (OIE) have been emerged and used in different languages, especially in English. However, it has almost not been used for the Arabic language. Accordingly, this paper aims to introduce an OIE system that extracts the relation tuple from Arabic web text, exploiting Arabic dependency parsing and thinking carefully about all possible text relations. Based on clause types' propositions as extractable relations and constituents' grammatical functions, the identities of corresponding clause types are established. The proposed system named Arabic open information extraction(AOIE) can extract highly scalable Arabic text relations while being domain independent. Implementing the proposed system handles the problem using supervised strategies while the system relies on unsupervised extraction strategies. Also, the system has been implemented in several domains to avoid information extraction in a specific field. The results prove that the system achieves high efficiency in extracting clauses from large amounts of text.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Electrical and Computer Engineering (IJECE)
ISSN
2722-2578
e-ISSN
1469-8110
Volume of the periodical
12
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
541-551
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85117218784