Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

TAPAS - Weakly Supervised Table Parsing via Pre-training

Yannic Kilcher via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive explanation of the TAPAS model, which revolutionizes table parsing and question answering without relying on logical forms. Dive into the innovative approach that extends BERT's architecture to encode tables as input and utilizes weak supervision for training. Learn how TAPAS outperforms traditional semantic parsing models by improving state-of-the-art accuracy on various datasets. Discover the model's ability to select table cells and apply aggregation operators to answer complex questions about tabular information. Gain insights into the clever input encoding and loss engineering techniques that enable TAPAS to tackle diverse tables and compute answers not explicitly present in the data. Understand the benefits of transfer learning in this simplified model architecture and its potential applications in natural language processing and information retrieval.

Syllabus

TAPAS: Weakly Supervised Table Parsing via Pre-training (Paper Explained)

Taught by

Yannic Kilcher

Reviews

Start your review of TAPAS - Weakly Supervised Table Parsing via Pre-training

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.