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аналитика - Joint Entity and Relation Extraction
Enriched Representation and Globally Constrained Inference for Accurate Joint Entity and Relation Extraction
EnriCo, a novel framework, leverages attention mechanisms to foster rich and expressive representations of entities and relations, while incorporating task-specific and dataset-specific constraints during decoding to promote structured and coherent outputs.
A Structure-aware Text-to-Graph Model for Joint Entity and Relation Extraction
GraphER, a novel approach to information extraction, formulates the task as graph structure learning to enhance the model's ability to dynamically refine and optimize the graph structure during the extraction process, enabling better interaction and structure-informed decisions for entity and relation prediction.
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