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 401–450 of 1977 papers

TitleStatusHype
Heterogeneous Supervision for Relation Extraction: A Representation Learning ApproachCode0
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?Code0
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical SubstitutionCode0
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-caseCode0
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation ExtractionCode0
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsCode0
Global Relation Embedding for Relation ExtractionCode0
A Library Perspective on Supervised Text Processing in Digital Libraries: An Investigation in the Biomedical DomainCode0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Hierarchical Relation Extraction with Coarse-to-Fine Grained AttentionCode0
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented GraphsCode0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive EvaluationCode0
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language ModelsCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation ExtractionCode0
CollaboNet: collaboration of deep neural networks for biomedical named entity recognitionCode0
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network ArchitectureCode0
Context-Aware Representations for Knowledge Base Relation ExtractionCode0
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation ExtractionCode0
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Contextualised Graph Attention for Improved Relation ExtractionCode0
Learning Dual Retrieval Module for Semi-supervised Relation ExtractionCode0
Combining Distant and Direct Supervision for Neural Relation ExtractionCode0
FoodChem: A food-chemical relation extraction modelCode0
Framing Named Entity Linking Error TypesCode0
A Korean Knowledge Extraction System for Enriching a KBoxCode0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Attention Guided Graph Convolutional Networks for Relation ExtractionCode0
Convolutional Neural Network Language ModelsCode0
Coarse-to-Fine Entity Representations for Document-level Relation ExtractionCode0
Improving Relation Extraction with Relational Paraphrase SentencesCode0
FinTree: Financial Dataset Pretrain Transformer Encoder for Relation ExtractionCode0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
First Story Detection using Entities and RelationsCode0
FREDA: Flexible Relation Extraction Data AnnotationCode0
Cluster-aware Pseudo-Labeling for Supervised Open Relation ExtractionCode0
Fine-grained General Entity Typing in German using GermaNetCode0
Fine-Grained Named Entities for Corona NewsCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
Introducing a Lexicon of Verbal Polarity Shifters for EnglishCode0
Classifying Relations by Ranking with Convolutional Neural NetworksCode0
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation ExtractionCode0
Fine-grained Contrastive Learning for Relation ExtractionCode0
Fine-tune Bert for DocRED with Two-step ProcessCode0
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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