Joint Entity and Relation Extraction Model Based on Inner and Outer Tensor Dot Product and Single-Table Filling
Ping Feng,
Lin Yang,
Boning Zhang
et al.
Abstract:Joint relational triple extraction is a crucial step in constructing a knowledge graph from unstructured text. Recently, multiple methods have been proposed for extracting relationship triplets. Notably, end-to-end table-filling methods have garnered significant research interest due to their efficient extraction capabilities. However, existing approaches usually generate separate tables for each relationship, which neglects the global correlation between relationships and context, producing a large number of … Show more
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