Archives for XLNet




The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
ELECTRA is the present state-of-the-art in GLUE and SQuAD benchmarks. It is a self-supervised language representation learning model
The post How ELECTRA outperforms RoBERTa, ALBERT and XLNet appeared first on Analytics India Magazine.
Natural language processing (NLP) portrays a vital role in the research of emerging technologies. It includes sentiment analysis, speech recognition, text classification, machine translation, question answering, among others. If you have watched any webinar or online talks of computer science pioneer Andrew NG, you will notice that he always asks AI and ML enthusiasts to…
The post 10 Must Read Technical Papers On NLP For 2020 appeared first on Analytics India Magazine.


Machine learning models which are deployed for vision and in natural language processing (NLP) tasks usually have more than one billion parameters. This allows for better results as the model generalises over a large wide range of parameters. Pre-trained language representations such as ELMo, OpenAI GPT, BERT, ERNIE 1.0 and XLNet have been proven to…
The post BAIDU’s ERNIE 2.0 Gets NLP Top Honours, Eclipses BERT & XLNet appeared first on Analytics India Magazine.


Machine learning models which are deployed for vision and in natural language processing (NLP) tasks usually have more than one billion parameters. This allows for better results as the model generalises over a large wide range of parameters. Pre-trained language representations such as ELMo, OpenAI GPT, BERT, ERNIE 1.0 and XLNet have been proven to…
The post BAIDU’s ERNIE 2.0 Gets NLP Top Honours, Eclipses BERT & XLNet 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.

