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 301–350 of 1977 papers

TitleStatusHype
BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation ExtractionCode1
BioRED: A Rich Biomedical Relation Extraction DatasetCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation ExtractionCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation ExtractionCode1
Entity-centered Cross-document Relation ExtractionCode1
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation ExtractionCode1
HySPA: Hybrid Span Generation for Scalable Text-to-Graph ExtractionCode1
Imposing Relation Structure in Language-Model Embeddings Using Contrastive LearningCode1
Bootstrapping Relation Extractors using Syntactic Search by ExamplesCode1
Improving Continual Relation Extraction by Distinguishing Analogous SemanticsCode1
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance EmbeddingsCode1
Improving Explainability of Disentangled Representations using Multipath-Attribution MappingsCode1
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference ResolutionCode1
In Layman's Terms: Semi-Open Relation Extraction from Scientific TextsCode1
Packed Levitated Marker for Entity and Relation ExtractionCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksCode1
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Joint Entity and Relation Extraction with Set Prediction NetworksCode1
Joint entity recognition and relation extraction as a multi-head selection problemCode1
A Relation-Oriented Clustering Method for Open Relation ExtractionCode1
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
A Continual Relation Extraction Approach for Knowledge Graph Completeness—0
A Weighting Scheme for Open Information Extraction—0
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns—0
A Neural Architecture for Person Ontology population—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction—0
Constructing a Lexicon of Relational Nouns—0
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models—0
Automatic Wayang Ontology Construction using Relation Extraction from Free Text—0
Automatic semantic relation extraction from Portuguese texts—0
An Empirical Study on Relation Extraction in the Biomedical Domain—0
A Feature-Enriched Tree Kernel for Relation Extraction—0
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction—0
Adversarial Training for Relation Extraction—0
Automatic Extraction of Time Expressions Accross Domains in French Narratives—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications—0
A Biomedical Information Extraction Primer for NLP Researchers—0
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction—0
Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey—0
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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