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 251–300 of 445 papers

TitleStatusHype
SpanBERT: Improving Pre-training by Representing and Predicting SpansCode0
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints—0
Joint Type Inference on Entities and Relations via Graph Convolutional Networks—0
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision—0
Collocation Classification with Unsupervised Relation VectorsCode0
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
Multi-Level Matching and Aggregation Network for Few-Shot Relation ClassificationCode0
Towards the Data-driven System for Rhetorical Parsing of Russian Texts—0
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN—0
Exploiting Noisy Data in Distant Supervision Relation Classification—0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
Enriching Pre-trained Language Model with Entity Information for Relation ClassificationCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting—0
Advancing NLP with Cognitive Language Processing SignalsCode0
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters—0
Mining Discourse Markers for Unsupervised Sentence Representation LearningCode0
A Single Attention-Based Combination of CNN and RNN for Relation Classification—0
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity TypingCode0
End-to-end neural relation extraction using deep biaffine attentionCode0
Improving Scientific Relation Classification with Task Specific Supersense—0
Customized Attention Mechanism for Relation Classification—0
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification—0
Zero-shot Relation Classification as Textual Entailment—0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—0
Revisiting neural relation classification in clinical notes with external informationCode0
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain—0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
Using active learning to expand training data for implicit discourse relation recognitionCode0
Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionCode0
Crowdsourcing Semantic Label Propagation in Relation ClassificationCode0
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification—0
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings—0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation—0
Neural Relation Classification with Text Descriptions—0
Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences—0
A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification—0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Exploratory Neural Relation Classification for Domain Knowledge Acquisition—0
Convolutional Gated Recurrent Units for Medical Relation ClassificationCode0
Semantic Relation Classification: Task Formalisation and Refinement—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Olive Oil is Made Olives, Baby Oil is Made Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model—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