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 101150 of 445 papers

TitleStatusHype
Multi-Level Matching and Aggregation Network for Few-Shot Relation ClassificationCode0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Learning Semantically and Additively Compositional Distributional RepresentationsCode0
``Laughing at you or with you'': The Role of Sarcasm in Shaping the Disagreement SpaceCode0
LLM with Relation Classifier for Document-Level Relation ExtractionCode0
OPI at SemEval-2022 Task 10: Transformer-based Sequence Tagging with Relation Classification for Structured Sentiment AnalysisCode0
Knowledge Enhanced Contextual Word RepresentationsCode0
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question AnsweringCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Classifying Relations by Ranking with Convolutional Neural NetworksCode0
KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained RelationshipsCode0
Label distributions help implicit discourse relation classificationCode0
Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingCode0
DeepREF: A Framework for Optimized Deep Learning-based Relation ClassificationCode0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Improved Relation Extraction with Feature-Rich Compositional Embedding ModelsCode0
Dependency-aware Prototype Learning for Few-shot Relation ClassificationCode0
Annotations for Exploring Food Tweets From Multiple AspectsCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation ClassificationCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
Towards a More Generalized Approach in Open Relation ExtractionCode0
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation LearningCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsCode0
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction RecognitionCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Explaining Relation Classification Models with Semantic ExtentsCode0
Distilling Relation Embeddings from Pre-trained Language ModelsCode0
Experiments with Three Approaches to Recognizing Lexical EntailmentCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
Distilling Relation Embeddings from Pretrained Language ModelsCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue SystemsCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
Enhancing Targeted Minority Class Prediction in Sentence-Level Relation ExtractionCode0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
End-to-end neural relation extraction using deep biaffine attentionCode0
End-to-End Relation Extraction using LSTMs on Sequences and Tree StructuresCode0
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
Enriching Pre-trained Language Model with Entity Information for Relation ClassificationCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
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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