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 351375 of 445 papers

TitleStatusHype
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue SystemsCode0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
Multi-Level Matching and Aggregation Network for Few-Shot Relation ClassificationCode0
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction RecognitionCode0
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsCode0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
Using active learning to expand training data for implicit discourse relation recognitionCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Revisiting neural relation classification in clinical notes with external informationCode0
Multiple Relations Classification using Imbalanced Predictions AdaptationCode0
Distant Supervision for Relation Extraction with Matrix CompletionCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
Explaining Relation Classification Models with Semantic ExtentsCode0
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation ClassificationCode0
Mutually Guided Few-shot Learning for Relational Triple ExtractionCode0
Collocation Classification with Unsupervised Relation VectorsCode0
Think Globally, Embed Locally --- Locally Linear Meta-embedding of WordsCode0
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Experiments with Three Approaches to Recognizing Lexical EntailmentCode0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Classifying Relations by Ranking with Convolutional Neural NetworksCode0
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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