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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 51–75 of 87 papers

TitleStatusHype
Joint Extraction of Entities and Relations Based on a Novel Tagging SchemeCode0
SciDeBERTa: Learning DeBERTa for Science Technology Documents and Fine-Tuning Information Extraction TasksCode0
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
Adversarial training for multi-context joint entity and relation extractionCode0
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse—0
Semi-Automating Knowledge Base Construction for Cancer Genetics—0
面向法律文本的实体关系联合抽取算法(Joint Entity and Relation Extraction for Legal Texts)—0
Seq2rel: A sequence-to-sequence-based approach for document-level relation extraction—0
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Modeling Joint Entity and Relation Extraction with Table Representation—0
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
Enhancing Knowledge Graph Construction Using Large Language Models—0
OneRel:Joint Entity and Relation Extraction with One Module in One Step—0
Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes—0
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations—0
Improved Decomposition Strategy for Joint Entity and Relation Extraction—0
Query-based Instance Discrimination Network for Relational Triple Extraction—0
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