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
KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained RelationshipsCode0
Enriching Pre-trained Language Model with Entity Information for Relation ClassificationCode0
Relation Classification via Recurrent Neural NetworkCode0
On the Relation between Syntactic Divergence and Zero-Shot PerformanceCode0
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure TextCode0
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label SetCode0
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation—0
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks—0
Biomedical Relation Classification by single and multiple source domain adaptation—0
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora—0
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
Bidirectional Long Short-Term Memory Networks for Relation Classification—0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task—0
Dependency Based Embeddings for Sentence Classification Tasks—0
Dense Event Ordering with a Multi-Pass Architecture—0
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification—0
Semantic Relations and Deep Learning—0
A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs—0
CVAE-based Re-anchoring for Implicit Discourse Relation Classification—0
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search—0
A Dependency-Based Neural Network for Relation Classification—0
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification—0
Customized Attention Mechanism for Relation Classification—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks—0
Automatically Generating Counterfactuals for Relation Classification—0
A Neural Approach to Discourse Relation Signal Detection—0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system—0
Cross Domain Few-Shot Learning via Meta Adversarial Training—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph—0
A Unified Approach to Discourse Relation Classification in nine Languages—0
An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction—0
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification—0
Context-aware Argumentative Relation Mining—0
Composite Semantic Relation Classification—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Global Context for improving recognition of Online Handwritten Mathematical Expressions—0
Generative Prompt Tuning for Relation Classification—0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling—0
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models—0
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification—0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction—0
A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing—0
A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features—0
Generate Triggers in Neural Relation Extraction—0
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification—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