SOTAVerified

Relation Classification

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Papers

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Showing 376–400 of 445 papers

TitleStatusHype
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks—0
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation—0
Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task—0
Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns—0
Distilling Relation Embeddings from Pretrained Language Models—0
Distilling Relation Embeddings from Pre-trained Language Models—0
Distributional Lexical Entailment by Topic Coherence—0
Diversity Over Quantity: A Lesson From Few Shot Relation Classification—0
Does Knowledge Help General NLU? An Empirical Study—0
On the Need of Cross Validation for Discourse Relation Classification—0
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
Embedding Semantic Relations into Word Representations—0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs—0
Enhancing Question Generation with Commonsense Knowledge—0
Ensemble-Based Medical Relation Classification—0
Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain—0
Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian—0
Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing—0
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification—0
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All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4—Unverified
2DeepStruct multi-taskF174.9—Unverified
3LUKE 483MF172.7—Unverified
4K-AdapterF172—Unverified
5KnowBERTF171.5—Unverified
6MTB Baldini Soares et al. (2019)F171.5—Unverified
7RoBERTaF171.3—Unverified
8SpanBERTF170.8—Unverified
9ERNIEF168—Unverified
10ERNIEF167.97—Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3—Unverified
2DRNNsF186.1—Unverified
3depLCNN + NSF185.6—Unverified
4SDP-LSTMF183.7—Unverified
5DepNNF183.6—Unverified
6MVRNNF182.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8—Unverified
2DeepEx (zero-shot top-10)F192.9—Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2—Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6—Unverified
5DeepEx (zero-shot top-1)F148.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72—Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83—Unverified