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

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Showing 101–150 of 445 papers

TitleStatusHype
Assessing Open-Source Large Language Models on Argumentation Mining Subtasks—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction—0
Exploiting Timegraphs in Temporal Relation Classification—0
Cross Domain Few-Shot Learning via Meta Adversarial Training—0
Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system—0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks—0
Exploratory Neural Relation Classification for Domain Knowledge Acquisition—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—0
Customized Attention Mechanism for Relation Classification—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Aspectual Type and Temporal Relation Classification—0
Semantic Relations and Deep Learning—0
A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs—0
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification—0
Dense Event Ordering with a Multi-Pass Architecture—0
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification—0
Dependency Based Embeddings for Sentence Classification Tasks—0
A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification—0
Evaluating Distributional Models of Semantics for Syntactically Invariant Inference—0
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
ClearTK-TimeML: A minimalist approach to TempEval 2013—0
Classifying Temporal Relations with Simple Features—0
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks—0
Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation—0
A Single Attention-Based Combination of CNN and RNN for Relation Classification—0
Classifying Temporal Relations with Rich Linguistic Knowledge—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification—0
A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
Exploring Vector Spaces for Semantic Relations—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths—0
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events—0
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path—0
A Semantic-Based Approach to Noun-Noun Compound Interpretation—0
A Global-Local Attention Mechanism for Relation Classification—0
About Evaluation of F1 Score for RECENT Relation Extraction System—0
Classifying medical relations in clinical text via convolutional neural networks—0
Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations—0
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification—0
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification—0
Argument Relation Classification Using a Joint Inference Model—0
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )—0
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives—0
Enhanced Protein-Protein Interactions Extraction from the Literature using Entity Type- and Position-aware Representation—0
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
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All datasetsTACREDSemEval-2010 Task-8FewRelAbstRCT - NeoplasmCDCPDiscoveryDRI CorpusMATRES

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