Archives for NLP - Page 18
BERT has set a new benchmark for NLP tasks. And, this has been documented quite well over the past six months. Bidirectional Encoder Representations from Transformers or BERT, which was open sourced last year, offered a new ground to embattle the intricacies involved in understanding the language models. BERT used WordPiece embeddings with a 30,000…
The post How Good Is BERT For Filling The Gap Between Accuracy Scores & Language Comprehension? appeared first on Analytics India Magazine.
Interactions between humans and computers to draw insights from data has been in practice since 1950. With the help of artificial intelligence and computational linguistics, machines are able to learn the natural language used by humans in a more efficient way. Although the terms natural language processing (NLP) and natural language understanding (NLU) are closely…
The post Natural Language Processing vs Natural Language Understanding: What’s The Difference appeared first on Analytics India Magazine.
Whether large or small, almost every organisation is looking for aspiring data scientists who will not only help them churn out meaningful insights from data but also help them stay ahead of the curve. It does not matter if you are a college drop-out or a fresher, with the right knowledge of tools and a…
The post 5 Simple Full Stack Data Science Projects To Put On Your Resume appeared first on Analytics India Magazine.
Current machine learning models that are deployed for vision and in natural language processing(NLP) tasks have more than a billion parameters. This allows for better results as the model generalizes over a large wide range of parameters. But there is a catch, as the capacity increases, the computation complexity increases. The ability to increase the…
The post How Can Memory Augmentation Work Wonders For Large Scale NLP Tasks appeared first on Analytics India Magazine.
Data augmentation is often limited to supervised learning, in which labels are required to transfer from original examples to augmented ones. Augmentation provides a steady but limited performance boost. This is because of the fact that they have been applied to a set of labelled examples which is usually of a small size. To overcome…
The post How Unsupervised Data Augmentation Can Improve NLP And Vision Tasks appeared first on Analytics India Magazine.
Bidirectional Encoder Representations from Transformers or BERT, which was open sourced late last year, offered a new ground to embattle the intricacies involved in understanding the language models. BERT uses WordPiece embeddings with a 30,000 token vocabulary and learned positional embeddings with supported sequence lengths up to 512 tokens. It helped explore the unsupervised pre-training…
The post NLP Gets A Surprise Addition As XLNet Outperforms BERT appeared first on Analytics India Magazine.
To create awareness among the machine learning community, especially the NLP community about the effects of training deep neural networks on the environment, Emma Strubell and her team at the University of Massachusetts Amherst, trained a variety of popular off-the-shelf NLP models, which can be converted to approximate carbon emissions and electricity costs. NLP models…
The post How Bad Is The Carbon Footprint Of Machine Learning? appeared first on Analytics India Magazine.
In our column ‘A Day In The Life Of’, we are trying to step into the shoes of awesome techies from various organisations who are working in Emerging Tech areas like big data, data analytics, artificial intelligence and the internet of things, among others. This week, Analytics India Magazine decided to talk to Akshay Deshraj,…
The post A Day In The Life Of: CTO And AI Lead Who Are Building The Next-Gen Language Platform appeared first on Analytics India Magazine.
A huge portion of the data that exists today is textual and as a Data Scientist, it is very important to have the skill sets to process these textual data. Natural Language processing has been around for a long time and it has been growing in popularity. Today almost all tech devices have some sort…
The post How To Solve Your First Ever NLP Classification Challenge appeared first on Analytics India Magazine.
Natural Language Processing has garnered great attention of late for two reasons — there is so much room for improvement and any chance of success being immensely rewarding. Neural networks, that are widely tasked with NLU, usually process language by generating fixed-or-variable-length vector-space representations. After starting with representations of individual words or even pieces of…
The post ERNIE Gets What BERT Doesn’t – Making AI Smarter With Knowledge Graphs appeared first on Analytics India Magazine.