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

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Showing 201–250 of 445 papers

TitleStatusHype
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification—0
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation—0
Prompting Implicit Discourse Relation Annotation—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching—0
Recognizing Reputation Defence Strategies in Critical Political Exchanges—0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations—0
Relation Classification using Entity Sequence Kernels—0
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN—0
Relation Classification with Cognitive Attention Supervision—0
Relation Classification with Entity Type Restriction—0
Relation Classification as Two-way Span-Prediction—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks—0
Relative and Incomplete Time Expression Anchoring for Clinical Text—0
Representing Movie Characters in Dialogues—0
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes—0
Rethinking Relation Classification with Graph Meaning Representations—0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER—0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings—0
SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification—0
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction—0
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction—0
Semantic Annotation of the ACL Anthology Corpus for the Automatic Analysis of Scientific Literature—0
Semantic Compositionality through Recursive Matrix-Vector Spaces—0
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification—0
Semantic Relation Classification: Task Formalisation and Refinement—0
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling—0
Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention—0
SemEval-2012 Task 2: Measuring Degrees of Relational Similarity—0
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
SERC: Syntactic and Semantic Sequence based Event Relation Classification—0
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features—0
Simple Customization of Recursive Neural Networks for Semantic Relation Classification—0
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers—0
Spectral Semi-Supervised Discourse Relation Classification—0
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models—0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison—0
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text—0
Subgraph-based Classification of Explicit and Implicit Discourse Relations—0
Supervised Relation Classification as Two-way Span-Prediction—0
Syntactic Dependency Representations in Neural Relation Classification—0
Systems' Agreements and Disagreements in Temporal Processing: An Extensive Error Analysis of the TempEval-3 Task—0
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification—0
TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification—0
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All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

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