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 51–100 of 1977 papers

TitleStatusHype
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific LiteratureCode1
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation ModelsCode1
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
Anaphor Assisted Document-Level Relation ExtractionCode1
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksCode1
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation ExtractionCode1
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation ExtractionCode1
GeoLM: Empowering Language Models for Geospatially Grounded Language UnderstandingCode1
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path PredictionCode1
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language ModelsCode1
Improving Large Language Models in Event Relation Logical PredictionCode1
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score CalibrationCode1
Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading ComprehensionCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Improving Explainability of Disentangled Representations using Multipath-Attribution MappingsCode1
FinRED: A Dataset for Relation Extraction in Financial DomainCode1
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich DocumentCode1
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation ExtractionCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
Uncertainty Guided Label Denoising for Document-level Distant Relation ExtractionCode1
Continual Multimodal Knowledge Graph ConstructionCode1
Improving Continual Relation Extraction by Distinguishing Analogous SemanticsCode1
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation ExtractionCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsCode1
MultiTACRED: A Multilingual Version of the TAC Relation Extraction DatasetCode1
Enhancing Continual Relation Extraction via Classifier DecompositionCode1
GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsCode1
Hierarchical Dialogue Understanding with Special Tokens and Turn-level AttentionCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation ExtractionCode1
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-RaysCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
Context-faithful Prompting for Large Language ModelsCode1
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation ExtractionCode1
Lightweight Transformers for Clinical Natural Language ProcessingCode1
Bioformer: an efficient transformer language model for biomedical text miningCode1
Sequence Generation with Label Augmentation for Relation ExtractionCode1
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?Code1
Multi-hop Evidence Retrieval for Cross-document Relation ExtractionCode1
Open Relation and Event Type Discovery with Type AbstractionCode1
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation TaggingCode1
A Dataset for Hyper-Relational Extraction and a Cube-Filling ApproachCode1
UniRel: Unified Representation and Interaction for Joint Relational Triple ExtractionCode1
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation ExtractionCode1
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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