YoVDO

The Role of Structure Modeling and Multi-task Learning for Neural Information Extraction

Offered By: VinAI via YouTube

Tags

Data Mining Courses Machine Learning Courses Neural Networks Courses Text Analysis Courses Computational Linguistics Courses Multi-Task Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive seminar on neural information extraction presented by Prof. Nguyen Huu Thien, Research Scientist at VinAI Research and Assistant Professor at the University of Oregon. Delve into the crucial roles of structure modeling and multi-task learning in advancing neural information extraction techniques. Gain insights from Prof. Thien's extensive background in computer science, including his work with renowned experts at New York University, University of Montréal, and the Montreal Institute for Learning Algorithms. Discover how these cutting-edge approaches are shaping the field of information extraction and their potential applications in artificial intelligence and natural language processing.

Syllabus

The Role of Structure Modeling and Multi-task Learning for Neural Information Extraction


Taught by

VinAI

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent