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 150 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
Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation ExtractionCode1
Syntax-Enhanced Pre-trained ModelCode1
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream TasksCode1
Multilingual Relation Classification via Efficient and Effective PromptingCode1
PTR: Prompt Tuning with Rules for Text ClassificationCode1
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation ClassificationCode1
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation ExtractionCode1
Relation Transformer NetworkCode1
SelfORE: Self-supervised Relational Feature Learning for Open Relation ExtractionCode1
Structured Prediction as Translation between Augmented Natural LanguagesCode1
Knowledge-Augmented Language Models for Cause-Effect Relation ClassificationCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Few-Shot Document-Level Relation ExtractionCode1
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersCode1
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema ModelingCode1
CrossRE: A Cross-Domain Dataset for Relation ExtractionCode1
Multi-Task Attentive Residual Networks for Argument MiningCode1
OED: Towards One-stage End-to-End Dynamic Scene Graph GenerationCode1
REBEL: Relation Extraction By End-to-end Language generationCode1
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity LinkingCode1
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
Semi-supervised Relation Extraction via Incremental Meta Self-TrainingCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
From Examples to Rules: Neural Guided Rule Synthesis for Information ExtractionCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Few-shot Text Classification with Distributional SignaturesCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Generative Prompt Tuning for Relation ClassificationCode1
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and SystemCode1
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentionCode1
Matching the Blanks: Distributional Similarity for Relation LearningCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
CreoleVal: Multilingual Multitask Benchmarks for CreolesCode1
RankDNN: Learning to Rank for Few-shot LearningCode1
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
Document-Level Relation Extraction with ReconstructionCode1
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationCode1
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation ClassificationCode1
Show:102550
← PrevPage 1 of 9Next →

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