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
Indirect Supervision for Relation Extraction using Question-Answer PairsCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Learning Rich Representation of Keyphrases from TextCode1
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsCode1
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!Code1
Bootleg: Chasing the Tail with Self-Supervised Named Entity DisambiguationCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation ExtractionCode1
SciBERT: A Pretrained Language Model for Scientific TextCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation ExtractionCode1
DORE: Document Ordered Relation Extraction based on Generative FrameworkCode1
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation ExtractionCode1
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading ComprehensionCode1
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
A Relation-Oriented Clustering Method for Open Relation ExtractionCode1
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text MiningCode0
Graphical Reasoning: LLM-based Semi-Open Relation ExtractionCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Graph Neural Networks with Generated Parameters for Relation ExtractionCode0
A Walk-based Model on Entity Graphs for Relation ExtractionCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation ExtractionCode0
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsCode0
An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020Code0
Global Relation Embedding for Relation ExtractionCode0
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
Adversarial training for multi-context joint entity and relation extractionCode0
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language ModelsCode0
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-trainingCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
Adversarial Multi-lingual Neural Relation ExtractionCode0
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representationsCode0
Full-Text Argumentation Mining on Scientific PublicationsCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
FREDA: Flexible Relation Extraction Data AnnotationCode0
A Unified View of Evaluation Metrics for Structured PredictionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
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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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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