Papers by Ruize Yuan

1 papers
DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering (2024.lrec-main)

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Challenge: TableTextQA tasks require tabular and textual data, gaining increasing attention . however, row-based approaches suffer from limitations such as lack of interaction between rows .
Approach: They propose a method that incorporates an interaction mechanism among multiple rows . Empirical results demonstrate that the proposed method is effective .
Outcome: Empirical results show that the proposed model is effective on tabFact and HybridQA datasets.

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