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Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning

https://doi.org/10.1145/3597610
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-47426-3_16openalex-snapshot
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
inferredcites →https://doi.org/10.1007/s11280-019-00765-yopenalex-snapshot
A relationship extraction method for domain knowledge graph construction
inferredcites →https://doi.org/10.1016/j.websem.2019.100546openalex-snapshot
Large-scale relation extraction from web documents and knowledge graphs with human-in-the-loop
inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot
Solving the multiple instance problem with axis-parallel rectangles
inferredcites →https://doi.org/10.1093/database/baw068openalex-snapshot
BioCreative V CDR task corpus: a resource for chemical disease relation extraction
inferredcites →https://doi.org/10.1109/iccv.2019.00069openalex-snapshot
CCNet: Criss-Cross Attention for Semantic Segmentation
inferredcites →https://doi.org/10.1145/1777432.1777437openalex-snapshot
Combining relations for information extraction from free text
inferredcites →https://doi.org/10.1145/3077136.3080735openalex-snapshot
ENCORE
inferredcites →https://doi.org/10.1145/3178876.3186024openalex-snapshot
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
inferredcites →https://doi.org/10.1145/3340531.3412164openalex-snapshot
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs
inferredcites →https://doi.org/10.1145/3404835.3463103openalex-snapshot
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction
inferredcites →https://doi.org/10.1145/3406109openalex-snapshot
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
inferredcites →https://doi.org/10.1145/3459637.3482207openalex-snapshot
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction
inferredcites →https://doi.org/10.1145/3466560openalex-snapshot
Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction
inferredcites →https://doi.org/10.1145/3477495.3531742openalex-snapshot
Biographical Semi-Supervised Relation Extraction Dataset
inferredcites →https://doi.org/10.1145/3503917openalex-snapshot
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction
inferredcites →https://doi.org/10.1145/3533020openalex-snapshot
Learning Implicit and Explicit Multi-task Interactions for Information Extraction
inferredcites →https://doi.org/10.1145/9760.9764openalex-snapshot
Multimedia document presentation, information extraction, and document formation in MINOS: a model and a system
inferredcites →https://doi.org/10.1145/988672.988687openalex-snapshot
Web-scale information extraction in knowitall
inferredcites →https://doi.org/10.1609/aaai.v31i1.10953openalex-snapshot
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions
inferredcites →https://doi.org/10.1609/aaai.v35i16.17717openalex-snapshot
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.141openalex-snapshot
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.341openalex-snapshot
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.127openalex-snapshot
Double Graph Based Reasoning for Document-level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.303openalex-snapshot
Global-to-Local Neural Networks for Document-Level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.582openalex-snapshot
Coreferential Reasoning Learning for Language Representation
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.409openalex-snapshot
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.126openalex-snapshot
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.429openalex-snapshot
Modular Self-Supervision for Document-Level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.95openalex-snapshot
Learning Logic Rules for Document-Level Relation Extraction
inferredcites →https://doi.org/10.18653/v1/2022.findings-acl.132openalex-snapshot
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
inferredcites →https://doi.org/10.18653/v1/d17-1004openalex-snapshot
Position-aware Attention and Supervised Data Improve Slot Filling
inferredcites →https://doi.org/10.18653/v1/d18-1244openalex-snapshot
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
inferredcites →https://doi.org/10.18653/v1/d19-1371openalex-snapshot
SciBERT: A Pretrained Language Model for Scientific Text
inferredcites →https://doi.org/10.18653/v1/d19-1498openalex-snapshot
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
inferredcites →https://doi.org/10.18653/v1/n16-1033openalex-snapshot
Joint Extraction of Events and Entities within a Document Context
inferredcites →https://doi.org/10.18653/v1/n18-1080openalex-snapshot
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
inferredcites →https://doi.org/10.18653/v1/n19-1288openalex-snapshot
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
inferredcites →https://doi.org/10.18653/v1/n19-1370openalex-snapshot
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
inferredcites →https://doi.org/10.18653/v1/p16-1105openalex-snapshot
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
inferredcites →https://doi.org/10.18653/v1/p18-2014openalex-snapshot
A Walk-based Model on Entity Graphs for Relation Extraction
inferredcites →https://doi.org/10.18653/v1/p19-1024openalex-snapshot
Attention Guided Graph Convolutional Networks for Relation Extraction
inferredcites →https://doi.org/10.18653/v1/p19-1074openalex-snapshot
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
inferredcites →https://doi.org/10.18653/v1/p19-1423openalex-snapshot
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
inferredcites →https://doi.org/10.3115/1690219.1690287openalex-snapshot
Distant supervision for relation extraction without labeled data
inferredcites →https://doi.org/10.48550/arxiv.1508.03720openalex-snapshot
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-92-0372-7_1openalex-snapshot
Context–Relation Alignment in Document-Level Relation Extraction via Prompt Graphs
inferred← citeshttps://doi.org/10.1007/978-981-95-7081-2_27openalex-snapshot
Document-Level Relation Extraction with Multi-scale and Non-bridge Reasoning
inferred← citeshttps://doi.org/10.1007/s10115-025-02347-zopenalex-snapshot
QUERY2TREE: a reasoning model for answering logical queries based on knowledge graph embedding and large language model
inferred← citeshttps://doi.org/10.1007/s10489-024-05985-yopenalex-snapshot
Document-level relation extraction via commonsense knowledge enhanced graph representation learning
inferred← citeshttps://doi.org/10.1007/s11192-025-05445-5openalex-snapshot
Using language models to label clusters of scientific documents
inferred← citeshttps://doi.org/10.1007/s44443-025-00331-9openalex-snapshot
ESTR-DocRE: an evidence-supervised transformer reasoning framework for document-level relation extraction
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2025.108854openalex-snapshot
Multidimensional information-guided mention integration and multidimensional reasoning for biomedical document-level relation extraction
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A generic hybrid method combining rules and machine learning to automate domain independent ontology population
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114596openalex-snapshot
Multi-stage reasoning framework for biomedical document-level relation extraction with dynamic memory mechanism
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126615openalex-snapshot
A document-level relation extraction method based on dual-angle attention transfer fusion
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Document-level relation extraction using context-aware entity representation
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ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112777openalex-snapshot
EMGE: Entities and Mentions Gradual Enhancement with semantics and connection modelling for document-level relation extraction
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112931openalex-snapshot
Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108469openalex-snapshot
Document-level relation extraction with entity type constraints
inferred← citeshttps://doi.org/10.1016/j.nexus.2026.100869openalex-snapshot
Ethical and governance challenges of large language models in power and energy systems: a review and framework for responsible AI deployment
inferred← citeshttps://doi.org/10.1039/d5dd00482aopenalex-snapshot
Optimizing data extraction from materials science literature: a study of tools using large language models
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QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries
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AI Agent Testing and Analysis Platform: A System for Automated Evaluation of AI Systems
inferred← citeshttps://doi.org/10.1145/3656168openalex-snapshot
Document-level Relation Extraction with Progressive Self-distillation
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Research on an Intelligent Marketing Recommendation System Based on Improved Collaborative Filtering and Deep Learning Algorithms
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Representation Control for Large Language Models: Survey and Research Challenges
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