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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 26–50 of 87 papers

TitleStatusHype
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction—0
SciDeBERTa: Learning DeBERTa for Science Technology Documents and Fine-Tuning Information Extraction TasksCode0
STable: Table Generation Framework for Encoder-Decoder Models—0
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction—0
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksCode1
A sequence-to-sequence approach for document-level relation extractionCode1
OneRel:Joint Entity and Relation Extraction with One Module in One Step—0
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify EntitiesCode0
Improved Decomposition Strategy for Joint Entity and Relation Extraction—0
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representationsCode0
Seq2rel: A sequence-to-sequence-based approach for document-level relation extraction—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and RelationsCode1
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
REBEL: Relation Extraction By End-to-end Language generationCode1
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
Packed Levitated Marker for Entity and Relation ExtractionCode1
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—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
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