Click on the “AI Youdao” above to select the “Top” public account Heavyweight content delivered first-hand This article is reproduced from Big Data Digest, secondary reproduction is prohibited Translated by Zhang Qiuyue, Yihang, Gao Yan, Long Xincheng Embedding is one of the most fascinating ideas in machine learning. If you have ever used Siri, Google … Read more
Technical Column Author: Yang Hangfeng Editor: Zhang Nimei 1.Word2Vec Overview Word2Vec is simply a method of representing the semantic information of words through learning from text and using word vectors, that is, mapping the original word space to a new space through Embedding, so that semantically similar words are close to each other in this … Read more
Author：louwill From：Deep Learning Notes The language model is one of the core concepts in natural language processing. Word2Vec is a language model based on neural networks, and it is also a vocabulary representation method. Word2Vec includes two structures: skip-gram and CBOW (Continuous Bag of Words), but essentially both are a dimensionality reduction operation on vocabulary. … Read more
1 Meaning of Word2Vec A word cannot be understood by a neural network; it needs to be converted into numbers before being fed into it. The most naive way is one-hot encoding, but it is too sparse and not effective. So we improve it by compressing one-hot into a dense vector. The word2vec algorithm predicts … Read more
Paper Weekly WeChat Official Account: paperweekly Introduction Since its introduction, Word2Vec has become a fundamental component of deep learning in natural language processing. Various deep learning models rely on Word2Vec for word-level embeddings when representing words, phrases, sentences, paragraphs, and other text elements. The author of Word2Vec, Tomas Mikolov, is a scholar who has produced … Read more
Authorized by WeChat account Data Mining Machine Cultivation Diary Author | Mu Wen This article is exclusively authorized for reprint by “Big Data Digest” and prohibits all other forms of reprint without the author’s permission. Hello everyone, my name is Data Mining Machine, I dropped out of Royal Bruster University, I drink the strongest orange … Read more
Click the “MLNLP” above, and select “Star” to follow the public account Heavyweight content delivered first-hand Editor: Yizhen https://www.zhihu.com/question/321088108 This article is for academic exchange and sharing. If there is any infringement, it will be deleted. The author found an interesting question on Zhihu titled “Why can negative sampling in word2vec achieve results similar to … Read more
Click on Machine Learning Algorithms and Python Learning ,Select Star Exciting content won’t get lost Source: Big Data Digest Embedding is one of the most fascinating ideas in machine learning. If you’ve ever used Siri, Google Assistant, Alexa, Google Translate, or even your smartphone keyboard for next-word prediction, you have likely benefited from this concept, … Read more
Selected from arXiv Author: Graham Neubig Translation by Machine Heart Contributors: Li Zenan, Jiang Siyuan This article is a detailed tutorial on machine translation, suitable for readers with a background in computer science. According to Paper Weekly (ID: paperweekly), this paper comes from CMU LTI and covers various foundational knowledge of the Seq2Seq method, including … Read more
Selected from arXiv Authors: Guillaume Lample et al. Translation by Machine Heart Contributors: Zhang Qian, Lu Recently, researchers from FAIR proposed two variants of machine translation models, one being a neural model and the other based on phrases. The researchers combined two recently proposed unsupervised methods, simplifying the structure and loss functions, resulting in a … Read more