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 125 of 445 papers

TitleStatusHype
GLiREL -- Generalist Model for Zero-Shot Relation ExtractionCode3
Description Boosting for Zero-Shot Entity and Relation ClassificationCode3
How to Encode Domain Information in Relation ClassificationCode2
Graph Language ModelsCode2
Generative Prompt Tuning for Relation ClassificationCode1
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and SystemCode1
Few-Shot Document-Level Relation ExtractionCode1
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
From Examples to Rules: Neural Guided Rule Synthesis for Information ExtractionCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
CrossRE: A Cross-Domain Dataset for Relation ExtractionCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
CreoleVal: Multilingual Multitask Benchmarks for CreolesCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
Few-shot Text Classification with Distributional SignaturesCode1
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
Document-Level Relation Extraction with ReconstructionCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Knowledge-Augmented Language Models for Cause-Effect Relation ClassificationCode1
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersCode1
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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