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 801–850 of 1977 papers

TitleStatusHype
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)Code0
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
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation ClassifiersCode0
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?Code0
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
FREDA: Flexible Relation Extraction Data AnnotationCode0
Retrieval of Scientific and Technological Resources for Experts and Scholars—0
Modeling Multi-Granularity Hierarchical Features for Relation ExtractionCode0
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction—0
Improving Persian Relation Extraction Models by Data Augmentation—0
Hierarchical Transformer Model for Scientific Named Entity RecognitionCode0
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction—0
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
Cross-lingual Inference with A Chinese Entailment GraphCode0
OneRel:Joint Entity and Relation Extraction with One Module in One Step—0
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify EntitiesCode0
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
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
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis—0
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction—0
A Dataset for N-ary Relation Extraction of Drug Combinations—0
Generate it. A simple method for End-to-End Relation Extraction—0
CLoCE:Contrastive Learning Optimize Continous Prompt Embedding Space in Relation Extraction—0
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model—0
Unsupervised Common Sense Relation Extraction—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
Modeling Multi-Granularity Hierarchical Features for Relation Extraction—0
Emphasis on Easy Samples for Distantly Supervised Relation Extraction—0
A Cueing Strategy with Prompt Tuning for Relation Extraction—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction—0
Distant Supervision for Relation Extraction with Hierarchical Attention-Based Networks—0
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning—0
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population—0
Mining Adverse Drug Reactions from Unstructured Mediums at Scale—0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation—0
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency OptimizationCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Deeper Clinical Document Understanding Using Relation ExtractionCode0
Neural Architectures for Biological Inter-Sentence Relation Extraction—0
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction—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