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

Showing 251300 of 1977 papers

TitleStatusHype
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation ExtractionCode1
GeoLM: Empowering Language Models for Geospatially Grounded Language UnderstandingCode1
A Unified View of Evaluation Metrics for Structured PredictionCode0
Controlled Randomness Improves the Performance of Transformer Models0
Learning Gradient Fields for Scalable and Generalizable Irregular Packing0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications0
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language ModelsCode1
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path PredictionCode1
Rethinking Relation Classification with Graph Meaning Representations0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming0
Improving Large Language Models in Event Relation Logical PredictionCode1
Effects of Human Adversarial and Affable Samples on BERT Generalization0
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information ExtractionCode0
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction0
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
Distantly-Supervised Joint Extraction with Noise-Robust LearningCode0
Guideline Learning for In-context Information Extraction0
Revisiting Large Language Models as Zero-shot Relation Extractors0
Document-Level Relation Extraction with Relation Correlation EnhancementCode0
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?0
Siamese Representation Learning for Unsupervised Relation ExtractionCode0
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)0
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationCode1
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event UnderstandingCode2
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction0
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction0
Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models0
Zero-shot information extraction from radiological reports using ChatGPT0
ReOnto: A Neuro-Symbolic Approach for Biomedical Relation ExtractionCode0
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction0
Evaluating the Robustness to Instructions of Large Language Models0
CARE: Co-Attention Network for Joint Entity and Relation ExtractionCode0
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm0
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion0
LASIGE and UNICAGE solution to the NASA LitCoin NLP CompetitionCode0
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction0
Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction0
DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation ExtractionCode2
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks0
Similarity-based Memory Enhanced Joint Entity and Relation ExtractionCode0
Parmesan: mathematical concept extraction for educationCode0
Relational Extraction on Wikipedia Tables using Convolutional and Memory NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53Unverified
2KD-Rb-lF167.28Unverified
3SSAN-RoBERTa-large+AdaptationF165.92Unverified
4SAIS-RoBERTa-largeF165.11Unverified
5Eider-RoBERTa-largeF164.79Unverified
6DocuNet-RoBERTa-largeF164.55Unverified
7CGM2IR-RoBERTalargeF163.89Unverified
8SETE-Roberta-largeF163.74Unverified
9ATLOP-RoBERTa-largeF163.4Unverified
10DRE-MIR-BERTbaseF163.15Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6Unverified
2DeepStruct multi-task w/ finetuneF176.8Unverified
3UNiST (LARGE)F175.5Unverified
4RE-MCF175.4Unverified
5GenPT (T5)F175.3Unverified
6RECENT+SpanBERTF175.2Unverified
7SuRE (PEGASUS-large)F175.1Unverified
8EXOBRAINF175Unverified
9Relation ReductionF174.8Unverified
10RoBERTa-large-typed-markerF174.6Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9Unverified
2RIFREF191.3Unverified
3REDNF191Unverified
4SPOTF190.6Unverified
5KLGF190.5Unverified
6RELAF190.4Unverified
7Skeleton-Aware BERTF190.36Unverified
8KnowPromptF190.3Unverified
9LUKEF190.3Unverified
10EPGNNF190.2Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8Unverified
3Dual Pointer NetworkRelation classification F180.5Unverified
4PL-MarkerRE Micro F173Unverified
5ASP+T5-3BRE Micro F172.7Unverified
6GoLLIERE Micro F170.1Unverified
7Ours: cross-sentence ALBRE Micro F169.4Unverified
8MGERE+ Micro F168.2Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2Unverified
10RNN+CNNRelation classification F167.7Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1Unverified
2REBELRE+ Macro F1 76.65Unverified
3ASP+T0-3BRE+ Micro F176.3Unverified
4Table-SequenceRE+ Macro F1 75.4Unverified
5SpERTRE+ Macro F1 72.87Unverified
6DeeperRE+ Macro F1 72.63Unverified
7TANLRE+ Micro F172.6Unverified
8TablERTRE+ Micro F172.6Unverified
9TriMFRE+ Micro F172.35Unverified
10Multi-turn QARE+ Micro F168.9Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9Unverified
2DeeperRE+ Macro F183.74Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03Unverified
7CMANRE+ Macro F181.14Unverified
8Table-SequenceRE+ Macro F180.1Unverified
9CLDR + CLNERRE+ Macro F179.97Unverified
10SpERT (without overlap)RE+ Macro F179.24Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7Unverified
2PFNF193.6Unverified
3SPNF193.4Unverified
4TDEERF193.1Unverified
5RIFREF192.6Unverified
6TPLinkerF191.9Unverified
7HBT (CasRel)F191.8Unverified
8RIN (BERT, K=2)F190.1Unverified
9CGT(UniLM)F183.4Unverified