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

Showing 176200 of 445 papers

TitleStatusHype
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation0
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates0
Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations0
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network0
Combining Lexical and Spatial Knowledge to Predict Spatial Relations between Objects in Images0
Combining Recurrent and Convolutional Neural Networks for Relation Classification0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification0
Implicit Discourse Relation Classification via Multi-Task Neural Networks0
From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification0
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters0
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification0
Argument Relation Classification Using a Joint Inference Model0
Generate Triggers in Neural Relation Extraction0
Generative Prompt Tuning for Relation Classification0
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )0
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives0
Global Context for improving recognition of Online Handwritten Mathematical Expressions0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings0
Human brain activity for machine attention0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4Unverified
2DeepStruct multi-taskF174.9Unverified
3LUKE 483MF172.7Unverified
4K-AdapterF172Unverified
5KnowBERTF171.5Unverified
6MTB Baldini Soares et al. (2019)F171.5Unverified
7RoBERTaF171.3Unverified
8SpanBERTF170.8Unverified
9ERNIEF168Unverified
10ERNIEF167.97Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3Unverified
2DRNNsF186.1Unverified
3depLCNN + NSF185.6Unverified
4SDP-LSTMF183.7Unverified
5DepNNF183.6Unverified
6MVRNNF182.4Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8Unverified
2DeepEx (zero-shot top-10)F192.9Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6Unverified
5DeepEx (zero-shot top-1)F148.8Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83Unverified