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 401450 of 1977 papers

TitleStatusHype
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting0
Preserving Generalization of Language models in Few-shot Continual Relation ExtractionCode0
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation ExtractionCode0
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome AssociationsCode0
AutoLLM-CARD: Towards a Description and Landscape of Large Language ModelsCode0
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences0
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword RegularizationCode0
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and OpportunitiesCode0
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction0
CACER: Clinical Concept Annotations for Cancer Events and RelationsCode0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer0
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction0
Generalized knowledge-enhanced framework for biomedical entity and relation extraction0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models0
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction0
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic0
Do LLMs Really Adapt to Domains? An Ontology Learning PerspectiveCode0
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?Code0
Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided Generation0
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language ModelsCode0
Consistent Document-Level Relation Extraction via CounterfactualsCode0
EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation0
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision0
A Global-Local Attention Mechanism for Relation Classification0
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels0
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction DebiasingCode0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks0
Infusing clinical knowledge into tokenisers for language models0
Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction0
How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive EvaluationCode0
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistencyCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks0
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction0
On the Robustness of Document-Level Relation Extraction Models to Entity Name VariationsCode0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction0
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction0
PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction0
BioBERT-based Deep Learning and Merged ChemProt-DrugProt for Enhanced Biomedical Relation Extraction0
XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form ParserCode0
Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth CenturyCode0
Knowledge-Driven Cross-Document Relation ExtractionCode0
Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label SemanticCode0
CNER: A tool Classifier of Named-Entity Relationships0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark0
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations0
TacoERE: Cluster-aware Compression for Event Relation Extraction0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization0
Show:102550
← PrevPage 9 of 40Next →

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