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 851–900 of 1977 papers

TitleStatusHype
Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder—0
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation ModelsCode0
Open Hierarchical Relation ExtractionCode1
Integrating Lexical Information into Entity Neighbourhood Representations for Relation PredictionCode0
Deep Learning on Graphs for Natural Language Processing—0
KGPool: Dynamic Knowledge Graph Context Selection for Relation ExtractionCode1
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph ConstructionCode1
SciFive: a text-to-text transformer model for biomedical literatureCode1
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective InferenceCode1
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Revisiting the Negative Data of Distantly Supervised Relation ExtractionCode1
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
KLUE: Korean Language Understanding EvaluationCode1
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation ExtractionCode2
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order PerceptionCode0
Relation Classification with Entity Type Restriction—0
Ensemble Making Few-Shot Learning Stronger—0
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP ContributionsCode1
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation ExtractionCode1
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Multi-view Inference for Relation Extraction with Uncertain KnowledgeCode0
Improving BERT Model Using Contrastive Learning for Biomedical Relation ExtractionCode1
Explore BiLSTM-CRF-Based Models for Open Relation Extraction—0
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
Enriched Attention for Robust Relation Extraction—0
Extracting Adverse Drug Events from Clinical Notes—0
Improving Biomedical Pretrained Language Models with KnowledgeCode1
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
ELECTRAMed: a new pre-trained language representation model for biomedical NLPCode1
Learning from Noisy Labels for Entity-Centric Information ExtractionCode1
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation ExtractionCode1
Re-TACRED: Addressing Shortcomings of the TACRED DatasetCode1
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors—0
A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers—0
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation ExtractionCode1
Representation Learning for Weakly Supervised Relation Extraction—0
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation LearningCode1
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering—0
A Question-answering Based Framework for Relation Extraction Validation—0
Deep Neural Networks for Relation ExtractionCode1
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific DataCode0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
CovRelex: A COVID-19 Retrieval System with Relation Extraction—0
Multilingual Entity and Relation Extraction Dataset and ModelCode1
Is ``hot pizza'' Positive or Negative? Mining Target-aware Sentiment Lexicons—0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation ExtractionCode0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
Dynamic Graph Transformer for Implicit Tag Recognition—0
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts—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