Conversational AI Design and Practice
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  • Preface
    • Syllabus
    • Schedule
  • 0. Getting Started
    • 0.1. Environment Setup
    • 0.2. Quiz
  • 1. Exploration
    • 1.1. Overview
    • 1.2. Project Ideas
    • 1.3. Quiz
  • 2. Dialogue Graph
    • 2.1. Emora STDM
    • 2.2. State Transition
    • 2.3. Matching Strategy
    • 2.4. Multi-turn Dialogue
    • 2.5. Quiz
  • 3. Contextual Understanding
    • 3.1. Natex
    • 3.2. Ontology
    • 3.4. Regular Expression
    • 3.5. Macro
    • 3.5. Quiz
  • 4. Interaction Design
    • 4.1. State Referencing
    • 4.2. Advanced Interaction
    • 4.3. Compound States
    • 4.4. Global Transition
    • 4.5. Saving and Loading
    • 4.6. Quiz
  • 5. LM-based Matching
    • 5.1. Language Models
    • 5.2. Quickstart with GPT
    • 5.3. Information Extraction
    • 5.4. Quiz
  • 6. Conversational Analysis
    • 6.1. H2H vs. H2M
    • 6.2. Team Evaluation
    • 6.3. Quiz
  • Project
    • Projects
    • Proposal Guidelines
    • Final Report Guidelines
  • Supplements
    • LINC Course
    • Page 1
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Preface

Jinho D. Choi

NextSyllabus

Last updated 2 years ago

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Artificial Intelligence (AI) has advanced to the point that it starts interacting with humans in natural language. This communication ability makes AI an integral part of human society as a collaborator and companion. Thus, it is essential to understand how AI can (and should) be designed to conduct meaningful conversations with humans. The main objectives of this course are:

  • To discover technical approaches to dialogue systems.

  • To conceive manifold use cases of dialogue systems.

  • To study effective ways of Human-Computer Interaction.

  • To develop a dialogue system using methods in Computational Linguistics.

  • To comprehend the limitations of your dialogue system through Statistical Analysis.

Students will have individual assignments and work in groups to build end-to-end dialogue systems of their choice. Toward the end of the semester, all teams will present the dialogue systems with live demonstrations.

LINC Course

For Spring 2023, this is selected as a course. Thus, it will include collaborative work with students taking .

Syllabus
Schedule
LINC (Learning through Inclusive Collaboration)
IDS 385W - Translation: Who, What, How
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