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Shuting Jiang

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Book Open access Aug 2026

Semantic-Symbolic Knowledge Consensus for Multilingual Question Answering

This paper proposes SeSyCo, a Semantic-Symbolic Knowledge Consensus framework, which leverages the semantic space to diverge monolingual queries into broad multilingual evidence, and subsequently utilize the symbolic space to eliminate language discrepancies, converging the gathered information into a robust consensus for precise SPARQL generation.

Yu Zhang, Ran Song, Xiaofei Gao et al. · 0 citations