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 1–50 of 1977 papers

TitleStatusHype
iText2KG: Incremental Knowledge Graphs Construction Using Large Language ModelsCode4
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and MiningCode4
Are Transformers Effective for Time Series Forecasting?Code4
Locating and Editing Factual Associations in GPTCode3
Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation DatasetCode3
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic BudgetCode3
GLiREL -- Generalist Model for Zero-Shot Relation ExtractionCode3
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Retrieval-Augmented Generation-based Relation ExtractionCode2
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph EnrichmentCode2
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event UnderstandingCode2
Knowledge Representation Learning: A Quantitative ReviewCode2
AutoRE: Document-Level Relation Extraction with Large Language ModelsCode2
EGTR: Extracting Graph from Transformer for Scene Graph GenerationCode2
RED^ FM: a Filtered and Multilingual Relation Extraction DatasetCode2
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation ExtractionCode2
LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingCode2
AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation ExtractionCode2
Multi-View Reasoning: Consistent Contrastive Learning for Math Word ProblemCode2
OpenNRE: An Open and Extensible Toolkit for Neural Relation ExtractionCode2
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline StudyCode2
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionCode2
LinkBERT: Pretraining Language Models with Document LinksCode2
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation ExtractionCode2
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt LearningCode2
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation ExtractionCode2
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesCode2
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learningCode2
bbw: Matching CSV to Wikidata via Meta-lookupCode1
An Improved Baseline for Sentence-level Relation ExtractionCode1
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERTCode1
Autoregressive Structured Prediction with Language ModelsCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text MiningCode1
An Effective System for Multi-format Information ExtractionCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
Automatic Error Analysis for Document-level Information ExtractionCode1
A Dataset for N-ary Relation Extraction of Drug CombinationsCode1
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingCode1
Automatic Rule Induction for Interpretable Semi-Supervised LearningCode1
Better Few-Shot Relation Extraction with Label Prompt DropoutCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
A Dataset for Hyper-Relational Extraction and a Cube-Filling ApproachCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation ExtractionCode1
Anaphor Assisted Document-Level Relation ExtractionCode1
A Simple yet Effective Relation Information Guided Approach for Few-Shot 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