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 901–950 of 1977 papers

TitleStatusHype
Dynamic Graph Transformer for Implicit Tag Recognition—0
Multilingual Entity and Relation Extraction Dataset and ModelCode1
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation ExtractionCode0
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey—0
Multi-facet Universal Schema—0
Prototypical Representation Learning for Relation ExtractionCode1
Structural block driven - enhanced convolutional neural representation for relation extraction—0
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction—0
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks—0
Mention-centered Graph Neural Network for Document-level Relation Extraction—0
A Review on Semi-Supervised Relation Extraction—0
Techniques for Jointly Extracting Entities and Relations: A Survey—0
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence—0
bbw: Matching CSV to Wikidata via Meta-lookupCode1
REMOD: Relation Extraction for Modeling Online DiscourseCode0
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines—0
Contextual Argument Component Classification for Class Discussions—0
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation ExtractionCode1
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The WebCode1
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context—0
Two Training Strategies for Improving Relation Extraction over Universal GraphCode0
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
TINKER: A framework for Open source Cyberthreat Intelligence—0
Bootstrapping Relation Extractors using Syntactic Search by ExamplesCode1
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance EvaluationCode0
Neural Data Augmentation via Example ExtrapolationCode0
An Improved Baseline for Sentence-level Relation ExtractionCode1
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision—0
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance EmbeddingsCode1
LOME: Large Ontology Multilingual Extraction—0
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation ExtractionCode1
Process-Level Representation of Scientific Protocols with Interactive AnnotationCode0
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science—0
A Survey on Extraction of Causal Relations from Natural Language Text—0
Structured Prediction as Translation between Augmented Natural LanguagesCode1
EventPlus: A Temporal Event Understanding PipelineCode1
BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer—0
Learning Better Sentence Representation with Syntax Information—0
Deep Neural Network Based Relation Extraction: An Overview—0
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
Discourse-level Relation Extraction via Graph Pooling—0
Counterfactual Thinking for Long-tailed Information Extraction—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document UnderstandingCode0
BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information—0
Document-Level Relation Extraction with ReconstructionCode1
A hybrid deep-learning approach for complex biochemical named entity recognition—0
An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020Code0
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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