When RNN Meets NER: Bi-LSTM, CRF, and Stack LSTM

When RNN Meets NER: Bi-LSTM, CRF, and Stack LSTM

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

How to Implement Image Semantic Segmentation Using CRF-RNN

How to Implement Image Semantic Segmentation Using CRF-RNN

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