Document dataset. 我们使用公共仓库Text Render [5]生成一些文档风格的合成文本图像。更具体地说,我们均匀采样文本长度,长度从1到15不等。语料库来自维基、电影、亚马逊和百科。数据集总共包含500,000个样本,随机划分为训练集、验证集和测试集,比例为8:1:1(400,000比50,000比50,000)。 Handwriting dataset. 我们...
TextRNN_Att, DPCNN, Transformer if model_name == 'FastText': from utils_fasttext import build_dataset, build_iterator, get_time_dif embedding = 'random' else: from utils import build_dataset, build_iterator, get_time_dif x = import_module('models.' + model_name) config = x.Config(data...
Finally, the text classification is carried out with the SVM multiple classifier. Testing on a text dataset with 10 categories, the experimental results show that the CSVM algorithm is more effective than other traditional Chinese text classification algorithm....
dataset = ‘THUCNews‘ # 数据集 model_name = args.model # bert x = import_module(‘models.‘ + model_name) config = x.Config(dataset) np.random.seed(1) torch.manual_seed(1) torch.cuda.manual_seed_all(1) torch.backends.cudnn.deterministic = True # 保证每次结果一样 start_time = ti...
nlp news wiki text-classification word2vec corpus dataset question-answering chinese chinese-nlp language-model bert chinese-corpus pretrain chinese-dataset Updated May 23, 2024 xxjwxc / uber_go_guide_cn Star 7.6k Code Issues Pull requests Uber Go 语言编码规范中文版. The Uber Go Style Guid...
A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver related named entities in informal and long mu
(https://github.com/fate233/toutiao-multilevel-text-classfication-dataset)) -labels.csv -train.csv -valid.csv - embeddings - chinese_L-12_H-768_A-12/(取谷歌预训练好点的模型,已经压缩上传, keras-bert还可以加载百度版ernie(需转换,[https://github.com/ArthurRizar/tensorflow_ernie](https://...
The second is the THUCNews Chinese text classification dataset provided by the Natural Language Processing Laboratory of Tsinghua University, which contains 740,000 pieces of data across 14 categories. To verify the ability of the model to process non-Chinese texts, we use some datasets in other ...
As another widely-spoken language, Chinese text recognition (CTR) in all ways has extensive application markets. Based on our observations, we attribute the scarce attention on CTR to the lack of reasonable dataset construction standards, unified evaluation protocols, and results of the existing ...
In sentiment classification, our BLSTM-C model gets the best result in the SST-2 dataset while molding-CNN achieves the best performance in the SST-1 dataset. Although our model fails to beat the state-of-art ones, it still obtains an acceptable result which means that the model is ...