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
Cross-Network Learning with Partially Aligned Graph Convolutional Networks0
Automatically Generating Counterfactuals for Relation Classification0
A Neural Approach to Discourse Relation Signal Detection0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system0
Cross Domain Few-Shot Learning via Meta Adversarial Training0
A Unified Architecture for Semantic Role Labeling and Relation Classification0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph0
A Unified Approach to Discourse Relation Classification in nine Languages0
An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction0
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification0
Context-aware Argumentative Relation Mining0
Composite Semantic Relation Classification0
A Marker-based Neural Network System for Extracting Social Determinants of Health0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification0
Comparing Word Representations for Implicit Discourse Relation Classification0
Global Context for improving recognition of Online Handwritten Mathematical Expressions0
Generative Prompt Tuning for Relation Classification0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling0
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models0
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction0
A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing0
A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features0
Generate Triggers in Neural Relation Extraction0
Function-words Enhanced Attention Networks for Few-Shot Inverse 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
5MTB Baldini Soares et al. (2019)F171.5Unverified
6KnowBERTF171.5Unverified
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