WebOct 13, 2024 · We investigate the different fine-tuning methods for seven English and one Chinese text classification tasks. We use the base BERT models: the uncased BERT-base model Footnote 1 and the Chinese BERT-base model Footnote 2 respectively. 5.1 Datasets. We evaluate our approach on eight widely-studied datasets. These datasets … WebFeb 8, 2024 · In summary, the major contributions of our paper include three aspects. (a) Investigating a novel hybrid system for Chinese text classification: CSVM, which …
How to Fine-Tune BERT for Text Classification? SpringerLink
WebFeb 24, 2024 · In this project, RoBERTa-wwm-ext [Cui et al., 2024] pre-train language model was adopted and fine-tuned for Chinese text classification. The models were able to classify Chinese texts into two ... WebZhang et al. presented a short text classification algorithm for Chinese clinical medicine combining ALBERT pre-training model and graph attention network. 2.3. Multi-Task Learning. Multi-task Learning (MTL) refers to learning multiple tasks simultaneously, and neural networks generally allow the underlying network to simultaneously take into ... green interior lights for car
Chinese Text Classification Model Based On Bert And Capsule …
WebMar 1, 2024 · Chinese comments sentiment classification based on word2vec and SVMperf. Article. Oct 2014. EXPERT SYST APPL. Dongwen Zhang. Hua Xu. Zengcai Su. Yunfeng xu. View. WebZhang et al. presented a short text classification algorithm for Chinese clinical medicine combining ALBERT pre-training model and graph attention network. 2.3. Multi-Task … WebNov 25, 2024 · Owing to the uneven distribution of key features in Chinese texts, key features play different roles in text recognition in Chinese text classification tasks. We propose a feature-enhanced fusion model based on attention mechanism for Chinese text classification, a long short-term memory (LSTM) network, a convolutional neural … green interior design products