Search results for "Natural Language Processing"

How to Implement Beam Search Decoder for Natural Language Processing

How to Implement a Beam Search Decoder for Natural Language Processing

Natural language processing tasks, such as caption generation and machine translation, involve generating sequences of words. Models developed for these problems often operate by generating probability distributions across the vocabulary of output words and it is up to decoding algorithms to sample the probability distributions to generate the most likely sequences of words. In this […]

Continue Reading 35
Deep Learning for Natural Language Processing

Deep Learning For Natural Language Processing

Deep Learning for Natural Language Processing Develop Deep Learning Models for your Natural Language Problems Working with Text is… important, under-discussed, and HARD We are awash with text, from books, papers, blogs, tweets, news, and increasingly text from spoken utterances. Every day, I get questions asking how to develop machine learning models for text data. Working […]

Continue Reading
How to Get Started with Deep Learning for Natural Language Processing

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 awash with text, from books, papers, blogs, tweets, news, and increasingly text from spoken utterances. Working with text is hard as it requires drawing upon knowledge from diverse domains such as linguistics, machine learning, statistical […]

Continue Reading 62
Promise of Deep Learning for Natural Language Processing

Promise of Deep Learning for Natural Language Processing

The promise of deep learning in the field of natural language processing is the better performance by models that may require more data but less linguistic expertise to train and operate. There is a lot of hype and large claims around deep learning methods, but beyond the hype, deep learning methods are achieving state-of-the-art results on […]

Continue Reading 18
7 Applications of Deep Learning for Natural Language Processing

7 Applications of Deep Learning for Natural Language Processing

The field of natural language processing is shifting from statistical methods to neural network methods. There are still many challenging problems to solve in natural language. Nevertheless, deep learning methods are achieving state-of-the-art results on some specific language problems. It is not just the performance of deep learning models on benchmark problems that is most […]

Continue Reading 58
Oxford Course on Deep Learning for Natural Language Processing

Oxford Course on Deep Learning for Natural Language Processing

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models. The University of Oxford in the UK teaches a course on Deep Learning for Natural Language Processing and much of the materials for […]

Continue Reading 18
Natural Language Processing with Deep Learning

Review of Stanford Course on Deep Learning for Natural Language Processing

Natural Language Processing, or NLP, is a subfield of machine learning concerned with understanding speech and text data. Statistical methods and statistical machine learning dominate the field and more recently deep learning methods have proven very effective in challenging NLP problems like speech recognition and text translation. In this post, you will discover the Stanford […]

Continue Reading 16