Papers with Tacred

1 papers
Modeling Multi-Granularity Hierarchical Features for Relation Extraction (2022.naacl-main)

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Challenge: Existing work on relation extraction focuses on constructing explicit structured features using knowledge graph and dependency tree.
Approach: They propose a method to extract multi-granularity features based solely on the original input sentences.
Outcome: The proposed method outperforms state-of-the-art models that even use external knowledge on three public benchmarks: SemEval 2010 Task 8, Tacred, and Tacred Revisited.

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