Arabic open information extraction system using dependency parsing

Abstract

<p>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.</p>

Automatic question generation using extended dependency parsing

“…The NER module identifies named entities within the input, while the POS module extracts the noun components of the sentence, which are also essential for the ruleset mapping and question generation stages. The Ruleset adopted from previous work [18], is extended to include named entities, POS tags, and dependency parsing [19]. This enhancement acknowledges the importance of these elements for generating Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Automatic question generation using extended dependency parsing (Walelign Tewabe Sewunetie) 1111 high-quality questions.…”