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 601–650 of 1977 papers

TitleStatusHype
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksCode1
Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models—0
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)Code0
None Class Ranking Loss for Document-Level Relation ExtractionCode1
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification—0
CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition—0
Document-Level Relation Extraction with Sentences Importance Estimation and FocusingCode1
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?Code0
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation ClassifiersCode0
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction—0
A Masked Image Reconstruction Network for Document-level Relation Extraction—0
Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)—0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
FREDA: Flexible Relation Extraction Data AnnotationCode0
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and GenesCode1
Retrieval of Scientific and Technological Resources for Experts and Scholars—0
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation ExtractionCode1
Modeling Multi-Granularity Hierarchical Features for Relation ExtractionCode0
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
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction—0
Improving Persian Relation Extraction Models by Data Augmentation—0
LinkBERT: Pretraining Language Models with Document LinksCode2
Hierarchical Transformer Model for Scientific Named Entity RecognitionCode0
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction—0
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
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainCode1
Multimodal Learning on Graphs for Disease Relation ExtractionCode1
Cross-lingual Inference with A Chinese Entailment GraphCode0
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify EntitiesCode0
OneRel:Joint Entity and Relation Extraction with One Module in One Step—0
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical TextCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation ExtractionCode1
A Generative Model for Relation Extraction and Classification—0
Automatically Generating Counterfactuals for Relation Classification—0
CorefDRE: Document-level Relation Extraction with coreference resolution—0
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network—0
Locating and Editing Factual Associations in GPTCode3
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records—0
Ontology-enhanced Prompt-tuning for Few-shot Learning—0
Prototypical Representation Learning for Low-resource Knowledge Extraction: Summary and Perspective—0
Unsupervised Common Sense Relation Extraction—0
A Dataset for N-ary Relation Extraction of Drug Combinations—0
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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