中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert...
Medium 级别针对NLP初学者,采用文本分类任务, 实现了一些经典模型,如TextCNN, TextRNN, LSTM+Attentioon, RCNN, Transformer 等。 Hard 级别中最初想实现了一些阅读理解模型。 阅读理解模型的复杂度应该是NLP任务中最高的了,理解阅读理解领域对 NLP 的学习是很有帮助的。但考虑到我自己的另一个仓库 RACE-Models...
这就是文本分类(Text Classification)问题。 问题来了,要想解决文本分类问题会遇到一些问题,比如: 文本如何表示? 特征如何提取? 分类器如何选择? 2 NLP任务 1)文本分类任务 输入:一句话 输出:类别 2)猜测NLP文本分类流程 回忆:CV图像分类流程1)输入图像(image)。
先看第一篇一篇获CCL 2019最佳论文奖的文章:How to Fine-Tune BERT for Text Classification? https://arxiv.org/pdf/1905.05583.pdfarxiv.org/pdf/1905.05583.pdf 该文章主要探讨了如何利用微调最大化地发掘BERT在文本分类任务中的潜能:这里文本分类主要讨论的是以下三种:sentiment analysis, question classi...
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.Text classification Text classification is the task of assigning a sentence or document an appropriate category. The categories depend on the...
Text classification using a convolutional neural network. https://github.com/harvardnlp/sent-conv-torch Papers Convolutional Neural Networks for Sentence Classification https://arxiv.org/abs/1408.5882 Character-level Convolutional Networks for Text Classification ...
- 1. 进入keras_textclassification/m01_FastText目录, - 2. 训练: 运行 train.py, 例如: python train.py - 3. 预测: 运行 predict.py, 例如: python predict.py - 说明: 默认不带pre train的random embedding,训练和验证语料只有100条,完整语料移步下面data查看下载 ...
导论 自然语言处理,NLP,接下来的几篇博客将从四方面来展开: (一)基本概念和基础知识 (二)嵌入Embedding (三)Text classification (四)Language Models (五)Seq2seq/Transformer/BERT (六)Expectation-Maximization (七)Machine Translation
$docker run -it basic-nlp 03_text_classification.py The following is a break down of the command: docker run: This is the primary command used to run a new container from a Docker image. -it: This is a combination of two options: ...
This is a use case of a popular NLP task known as text classification, which is the focus of this chapter. Text classification is the task of assigning one or more categories to a given piece of text from a larger set of possible categories. In the email spam–identifier example, we ...