Text summarization is the task of creating a short, accurate, and fluent summary of an article. A popular and free […]
Archive | Deep Learning for Natural Language Processing
Encoder-Decoder Deep Learning Models for Text Summarization
Text summarization is the task of creating short, accurate, and fluent summaries from larger text documents. Recently deep learning methods […]
A Gentle Introduction to Text Summarization
Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text […]
How to Use Small Experiments to Develop a Caption Generation Model in Keras
Caption generation is a challenging artificial intelligence problem where a textual description must be generated for a photograph. It requires […]
A Gentle Introduction to Deep Learning Caption Generation Models
Caption generation is the challenging artificial intelligence problem of generating a human-readable textual description given a photograph. It requires both […]
A Gentle Introduction to Calculating the BLEU Score for Text in Python
BLEU, or the Bilingual Evaluation Understudy, is a score for comparing a candidate translation of text to one or more […]
How to Prepare a Photo Caption Dataset for Training a Deep Learning Model
Automatic photo captioning is a problem where a model must generate a human-readable textual description given a photograph. It is […]
How to Automatically Generate Textual Descriptions for Photographs with Deep Learning
Captioning an image involves generating a human readable textual description given an image, such as a photograph. It is an […]
How to Develop a Word-Level Neural Language Model and Use it to Generate Text
A language model can predict the probability of the next word in the sequence, based on the words already observed […]
How to Get Started with Deep Learning for Natural Language Processing
Deep Learning for NLP Crash Course. Bring Deep Learning methods to Your Text Data project in 7 Days. We are […]