​Webinar on “Let’s explore Language Model: Google BERT”​

​Webinar on “Let’s explore Language Model: Google BERT”​

​Organized By: WIE IEEE AU SB​

Total number of participants: 50​participants (approx) ​ ​.

​Date: 19​th July 2020

Venue: Google Meet​

​Speaker: Krupa Galiya​

​Topics Covered: 

• What is NLP and basics of NLP
• Introduction to BERT. Bidirectional Encoder Representations from Transformers​ (BERT) is a technique for NLP (Natural Language Processing) pre-training developed by Google.
• History of BERT: BERT has its origins from pre-training contextual representations​ including Semi-supervised Sequence Learnin​g,​ Generative Pre-Trainin​g,​ Elmo,​ and ULMFi​ Unlike previous models, BERT is a deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus
• How to apply the BERT model for search
• Comparison of BERT model with other models.
• Application of BERT: applying BERT models to both ranking and featured snippets​ in Search
• BERT using Tensorflow