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 126–150 of 445 papers

TitleStatusHype
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
Zero-Shot Information Extraction as a Unified Text-to-Triple TranslationCode1
Distilling Relation Embeddings from Pre-trained Language Models—0
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
Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction—0
NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification—0
From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification—0
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
TIMERS: Document-level Temporal Relation Extraction—0
Verb Metaphor Detection via Contextual Relation Learning—0
Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain—0
UniRE: A Unified Label Space for Entity Relation ExtractionCode1
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue SystemsCode0
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
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
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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