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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1977 papers

TitleStatusHype
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
Do LLMs Really Adapt to Domains? An Ontology Learning PerspectiveCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype FusionCode0
Full-Text Argumentation Mining on Scientific PublicationsCode0
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language ModelsCode0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
Framing Named Entity Linking Error TypesCode0
Biomedical Named Entity Recognition at ScaleCode0
FREDA: Flexible Relation Extraction Data AnnotationCode0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
First Story Detection using Entities and RelationsCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
Fine-grained General Entity Typing in German using GermaNetCode0
Fine-Grained Named Entities for Corona NewsCode0
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
Fine-tune Bert for DocRED with Two-step ProcessCode0
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation ExtractionCode0
Global Relation Embedding for Relation ExtractionCode0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
Document-level Biomedical Relation Extraction Based on Multi-Dimensional Fusion Information and Multi-Granularity Logical ReasoningCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Exposing ambiguities in a relation-extraction gold standard with crowdsourcingCode0
Fine-grained Contrastive Learning for Relation ExtractionCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Event Causality Identification via Generation of Important Context WordsCode0
Document-level Relation Extraction with Relation CorrelationsCode0
Exploiting Unary Relations with Stacked Learning for Relation ExtractionCode0
Document-Level Relation Extraction with Relation Correlation EnhancementCode0
Document-level Relation Extraction with Cross-sentence Reasoning GraphCode0
FoodChem: A food-chemical relation extraction modelCode0
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag AttentionsCode0
Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?Code0
Evaluating Generative Language Models in Information Extraction as Subjective Question CorrectionCode0
Evaluating improvements on using Large Language Models (LLMs) for property extraction in the Open Research Knowledge Graph (ORKG)Code0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
A Novel Cascade Binary Tagging Framework for Relational Triple ExtractionCode0
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge GraphCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation ExtractionCode0
Show:102550
← PrevPage 12 of 40Next →
All datasetsDocREDTACREDSemEval-2010 Task-8ACE 2005CoNLL04Adverse Drug Events (ADE) CorpusWebNLGChemProtACE 2004NYT11-HRLCDRGDA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53—Unverified
2KD-Rb-lF167.28—Unverified
3SSAN-RoBERTa-large+AdaptationF165.92—Unverified
4SAIS-RoBERTa-largeF165.11—Unverified
5Eider-RoBERTa-largeF164.79—Unverified
6DocuNet-RoBERTa-largeF164.55—Unverified
7CGM2IR-RoBERTalargeF163.89—Unverified
8SETE-Roberta-largeF163.74—Unverified
9ATLOP-RoBERTa-largeF163.4—Unverified
10DRE-MIR-BERTbaseF163.15—Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6—Unverified
2DeepStruct multi-task w/ finetuneF176.8—Unverified
3UNiST (LARGE)F175.5—Unverified
4RE-MCF175.4—Unverified
5GenPT (T5)F175.3—Unverified
6RECENT+SpanBERTF175.2—Unverified
7SuRE (PEGASUS-large)F175.1—Unverified
8EXOBRAINF175—Unverified
9Relation ReductionF174.8—Unverified
10RoBERTa-large-typed-markerF174.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9—Unverified
2RIFREF191.3—Unverified
3REDNF191—Unverified
4SPOTF190.6—Unverified
5KLGF190.5—Unverified
6RELAF190.4—Unverified
7Skeleton-Aware BERTF190.36—Unverified
8KnowPromptF190.3—Unverified
9LUKEF190.3—Unverified
10EPGNNF190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98—Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8—Unverified
3Dual Pointer NetworkRelation classification F180.5—Unverified
4PL-MarkerRE Micro F173—Unverified
5ASP+T5-3BRE Micro F172.7—Unverified
6GoLLIERE Micro F170.1—Unverified
7Ours: cross-sentence ALBRE Micro F169.4—Unverified
8MGERE+ Micro F168.2—Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
10RNN+CNNRelation classification F167.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1—Unverified
2REBELRE+ Macro F1 76.65—Unverified
3ASP+T0-3BRE+ Micro F176.3—Unverified
4Table-SequenceRE+ Macro F1 75.4—Unverified
5SpERTRE+ Macro F1 72.87—Unverified
6DeeperRE+ Macro F1 72.63—Unverified
7TANLRE+ Micro F172.6—Unverified
8TablERTRE+ Micro F172.6—Unverified
9TriMFRE+ Micro F172.35—Unverified
10Multi-turn QARE+ Micro F168.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9—Unverified
2DeeperRE+ Macro F183.74—Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2—Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39—Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2—Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03—Unverified
7CMANRE+ Macro F181.14—Unverified
8Table-SequenceRE+ Macro F180.1—Unverified
9CLDR + CLNERRE+ Macro F179.97—Unverified
10SpERT (without overlap)RE+ Macro F179.24—Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7—Unverified
2PFNF193.6—Unverified
3SPNF193.4—Unverified
4TDEERF193.1—Unverified
5RIFREF192.6—Unverified
6TPLinkerF191.9—Unverified
7HBT (CasRel)F191.8—Unverified
8RIN (BERT, K=2)F190.1—Unverified
9CGT(UniLM)F183.4—Unverified