HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Text Classification On Trec 6

평가 지표

Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Error	Paper Title	Repository
VLAWE	5.8	Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
DELTA (CNN)	7.8	DELTA: A DEep learning based Language Technology plAtform
CoVe	4.2	Learned in Translation: Contextualized Word Vectors
MPAD-path	6.2	Message Passing Attention Networks for Document Understanding	-
SWEM-aver	7.8	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Capsule-B	7.2	Investigating Capsule Networks with Dynamic Routing for Text Classification
CNN+MCFA	4	Translations as Additional Contexts for Sentence Classification
BERT-ITPT-FiT	3.2	How to Fine-Tune BERT for Text Classification?
RoBERTa+DualCL	2.60	Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation
GRU-RNN-GLOVE	7.0	All-but-the-Top: Simple and Effective Postprocessing for Word Representations
ULMFiT	3.6	Universal Language Model Fine-tuning for Text Classification
LSTM-CNN	3.9	Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
Automatic Label Error Correction	0.40	The Re-Label Method For Data-Centric Machine Learning	-
TBCNN	4	Discriminative Neural Sentence Modeling by Tree-Based Convolution	-
USE_T+CNN	1.93	Universal Sentence Encoder
TM-Glove	9.96	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
C-LSTM	5.4	A C-LSTM Neural Network for Text Classification
byte mLSTM7	9.6	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
STM+TSED+PT+2L	7.04	The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning

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