ArticlePeerJ. Computer science2026
Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment.
Article in PeerJ. Computer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Semantic question similarity (SQS) plays a crucial role in enhancing question answering (QA) systems, particularly for low-resource languages, such as Arabic, which present challenges due to complex morphology, semantic ambiguity, and limited linguistic resources. Despite prior efforts, knowledge graphs (KGs), which are structured networks representing entities and relationships, remain underutilized in improving semantic understanding and reducing ambiguity. Existing semantic similarity approaches have inherent trade-offs: KGs capture deep meaning but lack adaptability;
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