Since the Attention mechanism was proposed, the Seq2seq model with Attention has been improved in each task, so the current Seq2seq model refers to the...
Word vectors have long been a major representation technique in NLP tasks. Following a series of technological breakthroughs in late 2017 and early 2018, research...
This article introduces the detailed principle of Attentino, and explains the mechanism from the perspective of visualization, and finally comes with interesting translation cases, detailed...
Simple demand approaching work, Xiao Ming finished today's task, is ready to go home from work. A message flashed up. "Recently found that the public...
The first part of this sharing is the relevant background of iQiyi's multi-language machine translation practice, the second part is some exploration and optimization of...
Mojue, senior technical expert at Alibaba iDST. He graduated from Beijing University of Posts and Telecommunications, majoring in computer application, and is currently engaged in...
Simple demand approaching work, Xiao Ming finished today's task, is ready to go home from work. A message flashed up. "Recently found that the public...
This paper mainly introduces the related principles of text generation using RNN, and in the end, I attach two examples of my own implementation, as...
Abstract: On April 25, Huawei Cloud released Pangu series super-large scale pre-training model, including the world's largest visual (CV) pre-training model with 3 billion parameters,...
Abstract: ModelArts Pro provides natural language processing suite, providing customers with custom tools for natural language processing, aiming to help customers efficiently build high-precision text...
Text similarity, which is to identify two text on the semantics is similar, in the field of natural language processing (NLP) is an important research...
Structured Query Language (SQL) is a special purpose programming Language, a database Query and programming Language, used for accessing data, querying, updating and managing relational...
Hello, everyone, welcome to the monthly guest stack. In the previous article [1], the author introduced the measurement method of model loss in single-label classification...
This paper uses TensorFlow 1.15 to achieve simple variable calculation, combined with code comments and reference to the web page easier to understand the relevant...
Seq2Seq is a variant of recurrent neural network, including Encoder and Decoder. Seq2Seq is an important model in natural language processing, which can be used...
At the World Artificial Intelligence Conference 2018, a blue Book on the development of artificial Intelligence industry in the world 2018, jointly compiled by Gartner...
AI Front Line introduction: "Facebook Messenger's business bots and Google Assistant are getting more powerful, and almost every company has its own bot, Amazon Echo...
The author | MUSKAN097 compile | source of vitamin k | AnalyticsVidhya profile, you have successfully build the classification model. What do you do now?...
Word2Vec is a word vector model proposed by Google in 2013. Through Word2Vec, words can be represented by numerical vector, and the similarity of two...
Robot knowledge base must be well classified to facilitate understanding, learning and later maintenance. Working with a poorly classified knowledge base is a terrible scenario....