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 76–100 of 445 papers

TitleStatusHype
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning—0
Zero-shot Event Causality Identification with Question Answering—0
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationCode1
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy—0
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text—0
RCL: Relation Contrastive Learning for Zero-Shot Relation ExtractionCode0
OPI at SemEval-2022 Task 10: Transformer-based Sequence Tagging with Relation Classification for Structured Sentiment AnalysisCode0
Enhancing Targeted Minority Class Prediction in Sentence-Level Relation ExtractionCode0
DeepREF: A Framework for Optimized Deep Learning-based Relation ClassificationCode0
DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse RelationsCode0
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation ExtractionCode1
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language UnderstandingCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Why only Micro-F1? Class Weighting of Measures for Relation ClassificationCode0
Unified Semantic Typing with Meaningful Label InferenceCode0
Few-Shot Document-Level Relation ExtractionCode1
Visually Grounded Interpretation of Noun-Noun Compounds in English—0
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification—0
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification—0
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification—0
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing—0
Automatically Generating Counterfactuals for Relation Classification—0
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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