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Found 5 papers, 1 papers with code
Improved Decomposition Strategy for Joint Entity and Relation Extraction
A recent study (Yu et al. 2020) proposed a novel decomposition strategy that splits the task into two interrelated subtasks: detection of the head-entity (HE) and identification of the corresponding tail-entity and relation (TER) for each extracted head-entity.
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN
Recently, relation classification has gained much success by exploiting deep neural networks.
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
This paper addresses the tasks of automatic seed selection for bootstrapping relation extraction, and noise reduction for distantly supervised relation extraction.
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