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 151–200 of 445 papers

TitleStatusHype
A Semantic-Based Approach to Noun-Noun Compound Interpretation—0
About Evaluation of F1 Score for RECENT Relation Extraction System—0
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations—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
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
Errata: Distant Supervision for Relation Extraction with Matrix Completion—0
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction—0
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections—0
Evaluating Distributional Models of Semantics for Syntactically Invariant Inference—0
ClearTK-TimeML: A minimalist approach to TempEval 2013—0
A Single Attention-Based Combination of CNN and RNN for Relation Classification—0
Enhancing Question Generation with Commonsense Knowledge—0
Exploiting Noisy Data in Distant Supervision Relation Classification—0
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs—0
Exploratory Neural Relation Classification for Domain Knowledge Acquisition—0
Exploring Vector Spaces for Semantic Relations—0
Extracting Drug-Drug Interactions with Attention CNNs—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification—0
Classifying medical relations in clinical text via convolutional neural networks—0
Assessing Open-Source Large Language Models on Argumentation Mining Subtasks—0
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations—0
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification—0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network—0
Combining Lexical and Spatial Knowledge to Predict Spatial Relations between Objects in Images—0
Combining Recurrent and Convolutional Neural Networks for Relation Classification—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Implicit Discourse Relation Classification: We Need to Talk about Evaluation—0
From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification—0
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters—0
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification—0
Argument Relation Classification Using a Joint Inference Model—0
Generate Triggers in Neural Relation Extraction—0
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 Connectives—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
Global Context for improving recognition of Online Handwritten Mathematical Expressions—0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging—0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction—0
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Implicit Discourse Relation Classification For Nigerian Pidgin—0
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation—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