SOTAVerified

Relation Extraction

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

Papers

Showing 501550 of 1977 papers

TitleStatusHype
Chaining Event Spans for Temporal Relation GroundingCode0
Adaptive Hinge Balance Loss for Document-Level Relation ExtractionCode0
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation ExtractionCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
A Causal View of Entity Bias in (Large) Language ModelsCode0
On the Robustness of Document-Level Relation Extraction Models to Entity Name VariationsCode0
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation ExtractionCode0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth CenturyCode0
CARE: Co-Attention Network for Joint Entity and Relation ExtractionCode0
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language ModelsCode0
Global Relation Embedding for Relation ExtractionCode0
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic TasksCode0
A Hierarchical Framework for Relation Extraction with Reinforcement LearningCode0
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?Code0
Full-Text Argumentation Mining on Scientific PublicationsCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
CACER: Clinical Concept Annotations for Cancer Events and RelationsCode0
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation ExtractionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility StudyCode0
A Relation Extraction Dataset for Knowledge Extraction from Web TablesCode0
FoodChem: A food-chemical relation extraction modelCode0
First Story Detection using Entities and RelationsCode0
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across DocumentsCode0
Framing Named Entity Linking Error TypesCode0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
FREDA: Flexible Relation Extraction Data AnnotationCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
Graphical Reasoning: LLM-based Semi-Open Relation ExtractionCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Facts That MatterCode0
Fine-grained Contrastive Learning for Relation ExtractionCode0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
Exposing ambiguities in a relation-extraction gold standard with crowdsourcingCode0
BioRelEx 1.0: Biological Relation Extraction BenchmarkCode0
Exploiting Unary Relations with Stacked Learning for Relation ExtractionCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Fine-grained General Entity Typing in German using GermaNetCode0
Show:102550
← PrevPage 11 of 40Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53Unverified
2KD-Rb-lF167.28Unverified
3SSAN-RoBERTa-large+AdaptationF165.92Unverified
4SAIS-RoBERTa-largeF165.11Unverified
5Eider-RoBERTa-largeF164.79Unverified
6DocuNet-RoBERTa-largeF164.55Unverified
7CGM2IR-RoBERTalargeF163.89Unverified
8SETE-Roberta-largeF163.74Unverified
9ATLOP-RoBERTa-largeF163.4Unverified
10DRE-MIR-BERTbaseF163.15Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6Unverified
2DeepStruct multi-task w/ finetuneF176.8Unverified
3UNiST (LARGE)F175.5Unverified
4RE-MCF175.4Unverified
5GenPT (T5)F175.3Unverified
6RECENT+SpanBERTF175.2Unverified
7SuRE (PEGASUS-large)F175.1Unverified
8EXOBRAINF175Unverified
9Relation ReductionF174.8Unverified
10RoBERTa-large-typed-markerF174.6Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9Unverified
2RIFREF191.3Unverified
3REDNF191Unverified
4SPOTF190.6Unverified
5KLGF190.5Unverified
6RELAF190.4Unverified
7Skeleton-Aware BERTF190.36Unverified
8KnowPromptF190.3Unverified
9LUKEF190.3Unverified
10EPGNNF190.2Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8Unverified
3Dual Pointer NetworkRelation classification F180.5Unverified
4PL-MarkerRE Micro F173Unverified
5ASP+T5-3BRE Micro F172.7Unverified
6GoLLIERE Micro F170.1Unverified
7Ours: cross-sentence ALBRE Micro F169.4Unverified
8MGERE+ Micro F168.2Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2Unverified
10RNN+CNNRelation classification F167.7Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1Unverified
2REBELRE+ Macro F1 76.65Unverified
3ASP+T0-3BRE+ Micro F176.3Unverified
4Table-SequenceRE+ Macro F1 75.4Unverified
5SpERTRE+ Macro F1 72.87Unverified
6DeeperRE+ Macro F1 72.63Unverified
7TANLRE+ Micro F172.6Unverified
8TablERTRE+ Micro F172.6Unverified
9TriMFRE+ Micro F172.35Unverified
10Multi-turn QARE+ Micro F168.9Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9Unverified
2DeeperRE+ Macro F183.74Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03Unverified
7CMANRE+ Macro F181.14Unverified
8Table-SequenceRE+ Macro F180.1Unverified
9CLDR + CLNERRE+ Macro F179.97Unverified
10SpERT (without overlap)RE+ Macro F179.24Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7Unverified
2PFNF193.6Unverified
3SPNF193.4Unverified
4TDEERF193.1Unverified
5RIFREF192.6Unverified
6TPLinkerF191.9Unverified
7HBT (CasRel)F191.8Unverified
8RIN (BERT, K=2)F190.1Unverified
9CGT(UniLM)F183.4Unverified