NLP stands for Natural Language Processing, which is a branch of Artificial Intelligence. It is the ability of a computer program to understand and interpret human language. NLP allows computers to process natural language and use it to respond to questions, generate reports, detect patterns, and more. In the JavaScript domain, NLP can be used to create chatbots, voice assistants, and other interactive applications that understand and respond to user input.
ML conf EU 2020ML conf EU 2020
35 min
Power of Transfer Learning in NLP: Build a Text Classification Model Using BERT
The domain of Natural Language Processing have seen a tremendous amount of research and innovation in the past couple of years to tackle the problem of implementing high quality machine learning and AI solutions using natural text. Text Classification is one such area that is extremely important in all sectors like finance, media, product development, etc. Building up a text classification system from scratch for every use case can be challenging in terms of cost as well as resources, considering there is a good amount of dataset to begin training with.
Here comes the concept of transfer learning. Using some of the models that has been pre-trained on terates of data and fine-tuning it based on the problem at hand is the new way to efficiently implement machine learning solutions without spending months on data cleaning pipeline.
This talk with highlight ways of implementing the newly launched BERT and fine tuning the base model to build an efficient text classifying model. Basic understanding of python is desirable.

ML conf EU 2020ML conf EU 2020
8 min
Can You Sing with All the Voices of the Features?
After this talk, you will know how to write the perfect song for your favourite singer! This is not a songwriting retreat but a talk about some of the lyrical, structural, harmonic, and melodic features song analysis includes. We will discuss the extraction of song structures using NLP tools and repetition analysis, musical features, and how to use all of those features to predict which songs fit which artist the best. Attend this talk to discover what is the future that the music industry can achieve with machine learning.

ML conf EU 2020ML conf EU 2020
27 min
DeepPavlov Agent: Open-source Framework for Multiskill Conversational AI
DeepPavlov Agent is a framework designed to facilitate the development of scalable and production-ready multi-skill virtual assistants, complex dialogue systems, and chatbots. Key features of DeepPavlov Agent include (1) scalability and reliability in the high load environment due to micro-service architecture; (2) ease of adding and orchestrating conversational skills; (3) shared dialogue state memory and NLP annotations accessible to all skills.
DeepPavlov DREAM is a socialbot platform with a modular design with the main components such as annotators, skills and selectors run as independent services. These components are configured and deployed using Docker containers. It allows developers to focus on application development instead of focusing on the intrinsic details of the manual low-level infrastructure configuration.

ML conf EU 2020ML conf EU 2020
32 min
An Introduction to Transfer Learning in NLP and HuggingFace
In this talk I'll start introducing the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architectures. The second part of the talk will be dedicated to an introduction of the open-source tools released HuggingFace, in particular our Transformers, Tokenizers and Datasets libraries and our models.