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 201225 of 445 papers

TitleStatusHype
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis0
On the contribution of word embeddings to temporal relation classification0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network0
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification0
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation0
Prompting Implicit Discourse Relation Annotation0
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming0
R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching0
Recognizing Reputation Defence Strategies in Critical Political Exchanges0
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations0
Relation Classification using Entity Sequence Kernels0
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN0
Relation Classification with Cognitive Attention Supervision0
Relation Classification with Entity Type Restriction0
Relation Classification as Two-way Span-Prediction0
Relation Extraction: Perspective from Convolutional Neural Networks0
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks0
Relative and Incomplete Time Expression Anchoring for Clinical Text0
Representing Movie Characters in Dialogues0
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes0
Rethinking Relation Classification with Graph Meaning Representations0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings0
SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification0
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction0
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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