Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Subjectivity Analysis On Subj

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
GRU-RNN-GLOVE	91.85	All-but-the-Top: Simple and Effective Postprocessing for Word Representations	-
RoBERTa-large 355M + Entailment as Few-shot Learner	97.1	Entailment as Few-Shot Learner	-
VLAWE	95.0	Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation	-
BERT-Base + LSTM	96.60	An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
STM+TSED+PT+2L	92.34	The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning	-
Capsule-B	93.8	Investigating Capsule Networks with Dynamic Routing for Text Classification	-
USE	93.90	Universal Sentence Encoder	-
Fast Dropout	93.60	-	-
byte mLSTM7	94.7	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors	-
RoBERTa+DualCL	97.34	Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation	-
SWEM-concat	93	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms	-
Byte mLSTM	94.60	Learning to Generate Reviews and Discovering Sentiment	-
AdaSent	95.50	Self-Adaptive Hierarchical Sentence Model	-
CNN+MCFA	94.80	Translations as Additional Contexts for Sentence Classification	-
SDAE	90.8	Learning Distributed Representations of Sentences from Unlabelled Data	-
BERT-Base + CLR + LSTM	97.30	An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks

0 of 16 row(s) selected.