Is a universal translator the end goal?

Pharmacovigilance (PV) is the process of collecting, detecting, assessing, monitoring, and preventing Adverse Events (AEs) of pharmaceutical products that ensure product safety. PV is a critical area in which language technology can significantly add value. Due to the increasing occurrences of mentioning drug side effects on social media, the data has become a crucial source of public information for evaluating the consequence and efficiency of the medicine.

Everyday models get heavier and heavier (in terms of learnable parameters). For example, LEMON_large has 200M parameters and GPT-3 has over 175 billion parameters!

Determining sentiment in the text using neural network models has become almost a school task for beginner data scientists. However, despite the high quality of models and the ease of working with them, it is not so easy to characterize real data from reviews of restaurants, hotels, or museums. Even Google’s algorithms can’t do it properly. What are    

This is the second step of the NLP end-to-end pipeline. In this step, We generally perform basic preprocessing and then advanced preprocessing but it depends on problem to problem. Let’s see the steps of text preprocessing. Lowercasing:- This is the first step of data preprocessing. It’s compulsory for all kinds of problems because whenever we work on an    

Have you ever wished for a magic box that could create art? I am usually a bad artist😔, but often times with creative ideas. I wished to have a magic box that could produce amazing artwork by thinking about it.