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

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Showing 701–750 of 1977 papers

TitleStatusHype
Fine-Grained Named Entities for Corona NewsCode0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome AssociationsCode0
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Fine-grained Contrastive Learning for Relation ExtractionCode0
Fine-grained General Entity Typing in German using GermaNetCode0
First Story Detection using Entities and RelationsCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
Natural Language Processing for Information ExtractionCode0
Neural Data Augmentation via Example ExtrapolationCode0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical KnowledgeCode0
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation ExtractionCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text ClassificationCode0
BEKG: A Built Environment Knowledge GraphCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
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
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
Chinese Relation Extraction with Multi-Grained Information and External Linguistic KnowledgeCode0
Facts That MatterCode0
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation ModelsCode0
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)Code0
Extracting Multiple-Relations in One-Pass with Pre-Trained TransformersCode0
Exploiting Unary Relations with Stacked Learning for Relation ExtractionCode0
Exposing ambiguities in a relation-extraction gold standard with crowdsourcingCode0
Extracting Polymer Nanocomposite Samples from Full-Length DocumentsCode0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training DataCode0
Dependency Parsing with Compression Rules—0
Dependency-Based Open Information Extraction—0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Demographic-aware word associations—0
A Weighting Scheme for Open Information Extraction—0
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures—0
A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns—0
A Neural Architecture for Person Ontology population—0
Deep Reader: Information extraction from Document images via relation extraction and Natural Language—0
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction—0
Deep Neural Network Based Relation Extraction: An Overview—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
A Continual Relation Extraction Approach for Knowledge Graph Completeness—0
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey—0
Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016—0
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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