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 276300 of 445 papers

TitleStatusHype
Zero-shot Event Causality Identification with Question Answering0
Zero-shot Relation Classification as Textual Entailment0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network0
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
Generate Triggers in Neural Relation Extraction0
Generative Prompt Tuning for Relation Classification0
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
Hands-on Learning to Search for Structured Prediction0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation0
Human brain activity for machine attention0
Implicit Discourse Relation Classification via Multi-Task Neural Networks0
Implicit Discourse Relation Classification For Nigerian Pidgin0
Implicit Discourse Relation Classification: We Need to Talk about Evaluation0
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation0
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning0
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text0
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph0
Improving Relation Classification by Entity Pair Graph0
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification0
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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