Author: JayLou, NLP Algorithm Engineer Zhihu Column: High Energy NLP Journey This article is authorized, click “Read the original” at the end: https://zhuanlan.zhihu.com/p/56382372 This article summarizes word vectors in natural language processing in a Q&A format: including Word2Vec, GloVe, FastText, ELMo, and BERT. Table of Contents 1. Text Representation and Comparison of Word Vectors 1. … Read more
This is a relatively early summary article. Although the content is simple, I personally find it easy to understand. Word2Vec is the cornerstone of natural language processing technology, and a deep understanding of the principles of Word2Vec is crucial for NLP practitioners. For a long time, I have been unclear about the implementation reasons behind … Read more
Big Data DigestProduced by Author: Jay Alammar Embedding is one of the most fascinating ideas in machine learning. If you have ever used Siri, Google Assistant, Alexa, Google Translate, or even your smartphone keyboard for next word prediction, you have likely benefited from this idea that has become central to natural language processing models. Over … Read more
Reference Article: https://www.jianshu.com/p/471d9bfbd72f Before understanding word2vec, we first need to grasp what One-Hot encoding is, as this simple encoding method is quite useful for handling enumerable features. Encoding One-Hot encoding, also known as single valid encoding, uses an N-bit state register to encode N states, where each state has its own independent register bit, and … Read more
Click on the top “MLNLP“, select to add “starred” or “top” Heavyweight content delivered first time Editor: Yi Zhen https://www.zhihu.com/question/48345431 This article is for academic sharing only, if there is infringement, the article will be deleted. How to Evaluate fastText Algorithm Proposed by Word2Vec Author?Does Deep Learning Have No Advantage in Simple Tasks like Text … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered first time! Overview of this article: 1. Background Knowledge Word2Vec is a type of language model that learns semantic knowledge from a large amount of text data in an unsupervised manner, and is widely used in natural language processing. Word2Vec is a tool for … Read more
“ This article provides a detailed explanation of the two structures in word2vec: CBOW and skip-gram, as well as the two optimization techniques: hierarchical softmax and negative sampling. Understanding these details and principles of the word2vec algorithm is very helpful!” Source: TianMin https://zhuanlan.zhihu.com/p/85998950 Word2vec is a lightweight neural network model that consists of an input … Read more
Reprinted with permission from AI TIME Discussion Author: Liu Zhiyuan Editor: Gege “Language is like amber, preserving many precious and wonderful thoughts safely inside.” Since the dawn of humanity, natural language has carried the wisdom of generations, accumulating endless knowledge. This rich treasure of knowledge has attracted many curious AI researchers to cultivate, explore, and … Read more
Big Data Digest Work Compiled by: Xiao Fan Pen, Zhou Jiayu, Da Jieqiong, Qian Tianpei Douban Water Army Detection, “Game of Thrones” Sequel, and the Ever-More Amazing Google Translate… Recently, various applications of Natural Language Processing (NLP) have been thriving. These NLP applications seem to be incredibly cool, but the principles behind them are not … Read more
In the era of AI, semantic processing will become the core of operating systems, and all software technologies will establish their upper limits based on advancements in semantic technology. By | Gong Zhouzhou Editor | Yan Zi Typesetting Editor | Xiao Shuang Once again, GPT-4 has overshadowed all the established tech companies. In the third … Read more