Machine Heart Column Author: Principal Engineer Dong Bingfeng, Chubao AI Lab The input vector X in traditional CRF is generally in the one-hot format of words, which loses a lot of semantic information about words. With the advent of word embedding methods, the word representation in vector form generally performs better than the one-hot representation. … Read more
Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Address | https://www.zhihu.com/question/62399257/answer/241969722 Author | Scofield Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is an infringement, please contact us to delete the article. To put … Read more
Author: David9 Address: http://nooverfit.com/ Named Entity Recognition (NER) is an important topic in semantic understanding. NER is like object detection in the field of natural language. Finding noun entities in document D is not enough; in many cases, we need to understand whether this noun represents a location, person, or organization, etc.: The above figure … Read more
Selected from GitHub Author: Shuai Zheng et al. Translated by: Machine Heart Contributors: Jiang Siyuan This GitHub project implements image semantic segmentation by combining CNN and CRF-RNN models. Readers can follow this project to implement the process using Keras/Tensorflow. Demo Address: http://crfasrnn.torr.vision Project Address: https://github.com/sadeepj/crfasrnn_keras This GitHub project contains methods to implement “CRF-RNN” image semantic … Read more