Grammarly AI/NLP Club #15: How to Collect High-Quality Data to Power Your Machine Learning Systems (подія в архіві)

Took place
12 May (Thursday)
Time
18:00
Place
online
Price
free
Attendees

The Grammarly AI-NLP Club series brings together international leaders and specialists in AI, Machine Learning, and Natural Language Processing to share high-quality research content and learnings.
Join us for our next event on May 12 to uncover the best practices for building an efficient annotation pipeline!

Topic: How to Collect High-Quality Data to Power Your Machine Learning Systems

Speakers:
Lily Ng, Analytical Linguist at Grammarly
Lena Nahorna, Analytical Linguist at Grammarly

Who will be interested: Computational and analytical linguists, engineers, researchers—anyone involved in data annotation projects.

► Where: Online
► When: Thursday, May 12, 18:00 EEST
► Language: English

Registration

The event is free with mandatory registration. Please look out for a confirmation email with all the necessary information, including a link to online streaming. We will start sending confirmation emails on May 7.
If you haven’t received a confirmation email with a link to online streaming by May 11, please reach out to us at [email protected].

We will send an event recording to all registered participants.

Summary of the talk: The quality of annotated data has an immense impact on the quality of systems trained on these data. Collecting high-quality data is a complex process that involves selecting the best data for your use case, producing thoughtful annotation guidelines and task design, and assessing and improving the quality of your dataset. Analytical linguists at Grammarly have iterated on this process and have insight to share with those who are or will be involved in data annotation projects.

👍ПодобаєтьсяСподобалось0
До обраногоВ обраному0
LinkedIn

1 коментар

Підписатись на коментаріВідписатись від коментарів Коментарі можуть залишати тільки користувачі з підтвердженими акаунтами.

Запис „Grammarly AI/NLP Club #15: How to Collect High-Quality Data to Power Your Machine Learning Systems”: youtu.be/Z8yqJz-Iq3s

Підписатись на коментарі