Natural Language Processing Tasks and Selected References I've been working on several natural language processing tasks for a long time. One day, I felt like drawing a map of the NLP field where I earn a living. I'm sure I'm not the only person who…

1,corpus 语料库 a computer-readable collection of text or speech 2,utterance 发音 比如下面一句话:I do uh main- mainly business data processing uh 是 fillers,填充词(Words like uh and um are called fillers or filled pauses ).The broken-off word main- is fragment calle…

http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/ 讲CNN以及其在NLP的应用,非常深入浅出的讲法,好文,mark. When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakt…

When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakthroughs in Image Classification and are the core of most Computer Vision systems today, from Facebook’s automated pho…

  CS224N Assignment 1: Exploring Word Vectors (25 Points)¶ Welcome to CS224n! Before you start, make sure you read the README.txt in the same directory as this notebook. In [7]: # All Import Statements Defined Here # Note: Do not add to this list. #…

卷积神经网络在自然语言处理任务中的应用.参考链接:Understanding Convolutional Neural Networks for NLP(2015.11) Instead of image pixels, the input to most NLP tasks are sentences or documents represented as a matrix. Each row of the matrix corresponds to one token, typically…

https://www.wxnmh.com/thread-1528249.htm https://www.wxnmh.com/thread-1528251.htm https://www.wxnmh.com/thread-1528254.htm Word embeddings using pre-trained embeddings (Kim, 2014) [12] 使用预训练embedding The optimal dimensionality of word embeddings is m…

基于OpenSeq2Seq的NLP与语音识别混合精度训练 Mixed Precision Training for NLP and Speech Recognition with OpenSeq2Seq 迄今为止,神经网络的成功建立在更大的数据集.更好的理论模型和缩短的训练时间上.特别是顺序模型,可以从中受益更多.为此,我们创建了OpenSeq2Seq--一个开源的.基于TensorFlow的工具包.OpenSeq2Seq支持一系列现成的模型,其特点是多GPU和混合精度训练,与其他开源框架相比,…

开始学习Python,之后渐渐成为我学习工作中的第一辅助脚本语言,虽然开发语言是Java,但平时的很多文本数据处理任务都交给了Python.这些年来,接触和使用了很多Python工具包,特别是在文本处理,科学计算,机器学习和数据挖掘领域,有很多很多优秀的Python工具包可供使用,所以作为Pythoner,也是相当幸福的.如果仔细留意微博和论坛,你会发现很多这方面的分享,自己也Google了一下,发现也有同学总结了"Python机器学习库",不过总感觉缺少点什么.最近流行一个词,全栈工…

The major advancements in Deep Learning in 2016 Pablo Tue, Dec 6, 2016 in MACHINE LEARNING DEEP LEARNING GAN Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this arti…