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Joint Entity and Relation Extraction

Joint Entity and Relation Extraction is the task of extracting entity mentions and semantic relations between entities from unstructured text with a single model.

Papers

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Showing 1–25 of 87 papers

TitleStatusHype
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation ExtractionCode2
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionCode2
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity LinkingCode1
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation ExtractionCode1
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
Knowledge Graph Generation From TextCode1
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial DocumentsCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksCode1
A sequence-to-sequence approach for document-level relation extractionCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and RelationsCode1
REBEL: Relation Extraction By End-to-end Language generationCode1
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Packed Levitated Marker for Entity and Relation ExtractionCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsCode1
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference ResolutionCode1
HySPA: Hybrid Span Generation for Scalable Text-to-Graph ExtractionCode1
A Cascade Dual-Decoder Model for Joint Entity and Relation ExtractionCode1
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective InferenceCode1
Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation ExtractionCode1
Deep Neural Networks for Relation ExtractionCode1
Multilingual Entity and Relation Extraction Dataset and ModelCode1
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