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 426445 of 445 papers

TitleStatusHype
Implicit Discourse Relation Classification: We Need to Talk about Evaluation0
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation0
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning0
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text0
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph0
Improving Relation Classification by Entity Pair Graph0
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification0
Improving Scientific Relation Classification with Task Specific Supersense0
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives0
Improving Vision-and-Language Reasoning via Spatial Relations Modeling0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates0
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning0
Inducing Latent Semantic Relations for Structured Distributional Semantics0
Inter-Weighted Alignment Network for Sentence Pair Modeling0
Investigation of annotator's behaviour using eye-tracking data0
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism0
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification0
Joint Extraction of Entity and Relation with Information Redundancy Elimination0
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4Unverified
2DeepStruct multi-taskF174.9Unverified
3LUKE 483MF172.7Unverified
4K-AdapterF172Unverified
5KnowBERTF171.5Unverified
6MTB Baldini Soares et al. (2019)F171.5Unverified
7RoBERTaF171.3Unverified
8SpanBERTF170.8Unverified
9ERNIEF168Unverified
10ERNIEF167.97Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3Unverified
2DRNNsF186.1Unverified
3depLCNN + NSF185.6Unverified
4SDP-LSTMF183.7Unverified
5DepNNF183.6Unverified
6MVRNNF182.4Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8Unverified
2DeepEx (zero-shot top-10)F192.9Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6Unverified
5DeepEx (zero-shot top-1)F148.8Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83Unverified