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 76100 of 445 papers

TitleStatusHype
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationCode0
Comparative Analysis of AI Agent Architectures for Entity Relationship ClassificationCode0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement SpaceCode0
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
CollFrEn: Rich Bilingual English–French Collocation ResourceCode0
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic RelationsCode0
A Latent Variable Recurrent Neural Network for Discourse Relation Language ModelsCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
Collocation Classification with Unsupervised Relation VectorsCode0
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation IdentificationCode0
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue SystemsCode0
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
CogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation PredictionCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Explaining Relation Classification Models with Semantic ExtentsCode0
Attention-Based Convolutional Neural Network for Semantic Relation ExtractionCode0
Composing Distributed Representations of Relational PatternsCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
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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