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 76–100 of 445 papers

TitleStatusHype
Implicit Discourse Relation Classification For Nigerian Pidgin—0
An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation LearningCode0
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context InformationCode0
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification—0
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information ExtractionCode0
Prompting Implicit Discourse Relation Annotation—0
Noise in Relation Classification Dataset TACRED: Characterization and Reduction—0
Improving Vision-and-Language Reasoning via Spatial Relations Modeling—0
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation—0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning—0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Rethinking Relation Classification with Graph Meaning Representations—0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming—0
Multiple Relations Classification using Imbalanced Predictions AdaptationCode0
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion—0
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation ClassificationCode0
Explaining Relation Classification Models with Semantic ExtentsCode0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates—0
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification—0
Mutually Guided Few-shot Learning for Relational Triple ExtractionCode0
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective GenerationCode0
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—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
5MTB Baldini Soares et al. (2019)F171.5—Unverified
6KnowBERTF171.5—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