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Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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teaching

Natural Language Processing

graduate course, National Kaohsiung University of Science and Technology, 2021

Course Description

The course mainly introduces the theories and applications of Natural Language Processing (NLP). This course starts from basic concepts of NLP to the-state-of-the-art NLP algorithms such as transformer. Also, this course will introduce how to apply the concepts that learnt in this course to task-oriented dialog system.

Reinforcement Learning Spring 2022

Graduate course, National Kaohsiung University of Science and Technology, 2022

Course Description

Reinforcement Learning (RL) is applied to many applications such as dialog system, robotics, and AlphaGo. RL mimics the learning behaviors of human beings and endows the system with the ability to learn through the trial-and-error method. The course will introduce the foundamental theories and the advanced theories of RL. We will start from Markolv decision process to deep RL. Moreover, we will introduce the applications of RL. More specifically, we focus our applications on dialog systems. After this course, students will have foundamental concepts to do RL research.