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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 445 papers

TitleStatusHype
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph—0
Distilling Relation Embeddings from Pretrained Language ModelsCode0
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification—0
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning—0
On the Relation between Syntactic Divergence and Zero-Shot PerformanceCode0
Generate Triggers in Neural Relation Extraction—0
Distilling Relation Embeddings from Pre-trained Language ModelsCode0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Supervised Relation Classification as Two-way Span-Prediction—0
SORNet: Spatial Object-Centric Representations for Sequential ManipulationCode0
Active Learning for Interactive Relation Extraction in a French Newspaper’s Articles—0
Does Knowledge Help General NLU? An Empirical Study—0
Verb Metaphor Detection via Contextual Relation Learning—0
From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification—0
NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification—0
Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction—0
TIMERS: Document-level Temporal Relation Extraction—0
Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain—0
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue SystemsCode0
One-shot to Weakly-Supervised Relation Classification using Language ModelsCode0
Enhancing Question Generation with Commonsense Knowledge—0
Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction—0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks—0
Relation Classification with Cognitive Attention Supervision—0
Global Context for improving recognition of Online Handwritten Mathematical Expressions—0
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction RecognitionCode0
Relation Classification with Entity Type Restriction—0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes—0
``Laughing at you or with you'': The Role of Sarcasm in Shaping the Disagreement SpaceCode0
"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement SpaceCode0
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification—0
Relation Classification via Relation ValidationCode0
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions—0
R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching—0
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation IdentificationCode0
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification—0
Meta-Information Guided Meta-Learning for Few-Shot Relation ClassificationCode0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction—0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network—0
CollFrEn: Rich Bilingual English–French Collocation ResourceCode0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction—0
Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification—0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER—0
Joint Extraction of Entity and Relation with Information Redundancy Elimination—0
Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian—0
Zero-shot Relation Classification from Side InformationCode0
Relative and Incomplete Time Expression Anchoring for Clinical Text—0
Within-Between Lexical Relation Classification—0
Show:102550
← PrevPage 4 of 9Next →
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