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 101–150 of 1977 papers

TitleStatusHype
Fixing Model Bugs with Natural Language PatchesCode1
Entity-centered Cross-document Relation ExtractionCode1
DORE: Document Ordered Relation Extraction based on Generative FrameworkCode1
Autoregressive Structured Prediction with Language ModelsCode1
Better Few-Shot Relation Extraction with Label Prompt DropoutCode1
Generative Prompt Tuning for Relation ClassificationCode1
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingCode1
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial DocumentsCode1
CrossRE: A Cross-Domain Dataset for Relation ExtractionCode1
Towards Relation Extraction From SpeechCode1
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationCode1
Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug InteractionsCode1
Automatic Error Analysis for Document-level Information ExtractionCode1
KoCHET: a Korean Cultural Heritage corpus for Entity-related TasksCode1
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation ExtractionCode1
UniCausal: Unified Benchmark and Repository for Causal Text MiningCode1
Enhancing Document-level Relation Extraction by Entity Knowledge InjectionCode1
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation ExtractionCode1
Knowledge Extraction From Texts Based on WikidataCode1
MORE: A Metric Learning Based Framework for Open-domain Relation ExtractionCode1
Enhanced Entity Annotations for Multilingual CorporaCode1
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation ExtractionCode1
Revisiting DocRED -- Addressing the False Negative Problem in Relation ExtractionCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation ExtractionCode1
Summarization as Indirect Supervision for Relation ExtractionCode1
Automatic Rule Induction for Interpretable Semi-Supervised LearningCode1
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual AnalysisCode1
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation ExtractionCode1
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging FrameworkCode1
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation ExtractionCode1
Few-Shot Document-Level Relation ExtractionCode1
A Dataset for N-ary Relation Extraction of Drug CombinationsCode1
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksCode1
Event-Event Relation Extraction using Probabilistic Box EmbeddingCode1
None Class Ranking Loss for Document-Level Relation ExtractionCode1
Document-Level Relation Extraction with Sentences Importance Estimation and FocusingCode1
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and GenesCode1
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation ExtractionCode1
BioRED: A Rich Biomedical Relation Extraction DatasetCode1
A sequence-to-sequence approach for document-level relation extractionCode1
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
Pre-training to Match for Unified Low-shot Relation ExtractionCode1
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge DistillationCode1
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionCode1
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
Multimodal Learning on Graphs for Disease Relation ExtractionCode1
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainCode1
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical TextCode1
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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