Data Science fwdays’20 conference| The democratization of NLP and what it means for the industry Discussion

We want to announce our third discussion at the free Data Science fwdays’20 online conference that will take place on August 15 at the end of the day.

Title: “The democratization of NLP and what it means for the industry”.

Dmitry Unkovsky (Lead ML Engineer at Grammarly) is the moderator of this discussion, and the other top experts are:

📣 Chad Mills — Leads Grammarly’s Applied Research, Machine Learning Engineering, and Computational Linguistics teams in North America.

📣 Thomas Wolf — Co-founder and Chief Science Officer at HuggingFace 🤗. His team is on a mission to advance and democratize NLP for everyone.

📣 Vitaliy Radchenko — Data Scientist at YouScan, whose main interest is NLP, where he has a lot of experience in solving different problems from scratch to production deployment.

The developments of the recent two or three years have moved the field quite significantly. There was a lot of focus on the community on the Transformer architecture, with a lot of results and implications. Low-resource tasks became more tractable due to a wide variety of available pre-trained models including cross-lingual ones. Reproducibility is in a much better place now than it was five years before, and the list goes on.

This will be a friendly and not too formal discussion — let’s exchange thoughts and talk. From the perspective of building NLP products, let’s touch on how different aspects were affected in practice or whether they are likely to be affected in the near future:

- Building and productizing NLP models

- Time/effort to find a suitable approach (research)

- Time/effort to build something workable (PoC)

- Time/effort to make it ready for users

- Engineering/science roles and how things they do have changed

- What barriers are still there to overcome for NLP to be broadly available, especially from the application side

The discussion will be held in English.

Register and join 🤩