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 151–175 of 445 papers

TitleStatusHype
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph—0
Distilling Relation Embeddings from Pretrained Language Models—0
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 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
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
Verb Metaphor Detection via Contextual Relation Learning—0
Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain—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
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
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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