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 351375 of 445 papers

TitleStatusHype
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths0
Classifying Temporal Relations with Rich Linguistic Knowledge0
Classifying Temporal Relations with Simple Features0
ClearTK-TimeML: A minimalist approach to TempEval 20130
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks0
Combining Lexical and Spatial Knowledge to Predict Spatial Relations between Objects in Images0
Combining Recurrent and Convolutional Neural Networks for Relation Classification0
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text0
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling0
Comparing Word Representations for Implicit Discourse Relation Classification0
Composite Semantic Relation Classification0
Context-aware Argumentative Relation Mining0
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph0
Cross Domain Few-Shot Learning via Meta Adversarial Training0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks0
Customized Attention Mechanism for Relation Classification0
CVAE-based Re-anchoring for Implicit Discourse Relation Classification0
Semantic Relations and Deep Learning0
Dense Event Ordering with a Multi-Pass Architecture0
Dependency Based Embeddings for Sentence Classification Tasks0
Direct Fact Retrieval from Knowledge Graphs without Entity Linking0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4Unverified
2DeepStruct multi-taskF174.9Unverified
3LUKE 483MF172.7Unverified
4K-AdapterF172Unverified
5MTB Baldini Soares et al. (2019)F171.5Unverified
6KnowBERTF171.5Unverified
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