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 601650 of 1977 papers

TitleStatusHype
Fine-Grained Named Entities for Corona NewsCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
Fine-grained Contrastive Learning for Relation ExtractionCode0
Fine-grained General Entity Typing in German using GermaNetCode0
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?Code0
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag AttentionsCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
D-REX: Dialogue Relation Extraction with ExplanationsCode0
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP TasksCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Identifying and Explaining Discriminative AttributesCode0
Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismCode0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Beyond Word Attention: Using Segment Attention in Neural Relation ExtractionCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Combining Distant and Direct Supervision for Neural Relation ExtractionCode0
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural NetworksCode0
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order PerceptionCode0
Exposing ambiguities in a relation-extraction gold standard with crowdsourcingCode0
Effective Attention Modeling for Neural Relation ExtractionCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Distantly-Supervised Neural Relation Extraction with Side Information using BERTCode0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
An Information Extraction Study: Take In Mind the Tokenization!Code0
Exploiting Unary Relations with Stacked Learning for Relation ExtractionCode0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Event Causality Identification via Generation of Important Context WordsCode0
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
Deep Structured Neural Network for Event Temporal Relation ExtractionCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Facts That MatterCode0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
Evaluating Generative Language Models in Information Extraction as Subjective Question CorrectionCode0
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of RelationsCode0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
Discovering Implicit Knowledge with Unary RelationsCode0
Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task AnalysisCode0
BERT-Based Multi-Head Selection for Joint Entity-Relation ExtractionCode0
How Fragile is Relation Extraction under Entity Replacements?Code0
Show:102550
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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