Papers by Kunrui Zhu

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Challenge:	Schema translation is not well studied in the community because of morphological difference and context difference between plain text and tabular data.
Approach:	They propose a schema translation model augmented with schema context . they model a target header and its context as a directed graph to represent their entities .
Outcome:	The proposed model outperforms state-of-the-art models on schema translation . it uses a graph to represent entity types and relations, and a relational-aware transformer .