Table of Contents

• Table of Contents
• 1 Examples of Dialogue Systems
  • 1.1 Dialogue Processing
    • 1.1.1 Warming Up
    • 1.1.2 General Dialogue characteristics
  • 1.2 Speaking Elevator: Examples of Required Behaviour
    • 1.2.1 Introduction of the Speaking Elevator Sytem
    • 1.2.2 Turn-taking
    • 1.2.3 Adjacency pairs and insertions
    • 1.2.4 Grounding
    • 1.2.5 Dialogue context
    • 1.2.6 Ellipsis
    • 1.2.7 Reference resolution
  • 1.3 TRAINS Dialogue System Description
    • 1.3.1 The TRAINS user interface.
    • 1.3.2 The domain
    • 1.3.3 A TRAINS example dialogue
    • 1.3.4 The mode of interaction
    • 1.3.5 Planning
    • 1.3.6 How the user input is interpreted
    • 1.3.7 Dealing with the input
  • 1.4 TRAINS General Dialogue Characteristics
    • 1.4.1 Turn-taking
    • 1.4.2 Adjacency pairs and insertions
    • 1.4.3 Grounding
    • 1.4.4 Dialogue context
    • 1.4.5 Ellipsis
    • 1.4.6 Reference resolution
    • 1.4.7 Mixed initiative
  • 1.5 TRAINS References
• 2 Finite States Techniques for Dialogue Processing
  • 2.1 FSA-based Dialogue Systems
    • 2.1.1 Processing dialogue with finite state systems
    • 2.1.2 A simple FSA example
  • 2.2 Extending FSA
    • 2.2.1 Why Extending FSA?
    • 2.2.2 Grounding Extension 1
    • 2.2.3 Grounding Extension 2
    • 2.2.4 Grounding Extension 3
    • 2.2.5 And what about Repair?
  • 2.3 An In-depth Look at the Speaking Elevator
    • 2.3.1 The Saarbrücken CL department's Speaking Elevator
    • 2.3.2 How does the dialogue progress?
    • 2.3.3 An additional memory
    • 2.3.4 How long does the system wait for a response?
    • 2.3.5 How does the elevator deal with unrecognised utterances or inconsistent input?
    • 2.3.6 And what happens if the elevator does understand the input?
    • 2.3.7 How is the user input confirmed?
    • 2.3.8 During the trip...
    • 2.3.9 What happens when there is ambiguous input?
    • 2.3.10 Speaking elevator reference
  • 2.4 Dialogue Characteristic and Extension of the Elevator
    • 2.4.1 Turn-taking
    • 2.4.2 Adjacency pairs and insertions
    • 2.4.3 Grounding
    • 2.4.4 Dialogue context
    • 2.4.5 Ellipsis
    • 2.4.6 Reference resolution
    • 2.4.7 Mixed initiative
  • 2.5 Summary and Outlook
    • 2.5.1 Advantages and disadvantages
    • 2.5.2 The CSLU tool
    • 2.5.3 Beyond Finite State Techniques
• 3 Speech Acts and Dialogue Management
  • 3.1 Introduction to Speech Acts
    • 3.1.1 The background
    • 3.1.2 What are speech acts and what do they do?
    • 3.1.3 Searle's Classification of Speech Acts
  • 3.2 Speech Acts in Dialogue Management
    • 3.2.1 Important Aspects
    • 3.2.2 Context and Dialogue Management
    • 3.2.3 More Context
  • 3.3 Example Dialogue Annotation Schemes
    • 3.3.1 Introduction of Dialogue Acts
    • 3.3.2 HCRC Map task
    • 3.3.3 HCRC Map task: Levels of annotation
    • 3.3.4 Verbmobil 2
    • 3.3.5 Verbmobil 2: Levels of annotation
    • 3.3.6 TRAINS
    • 3.3.7 TRAINS: The approach
    • 3.3.8 DAMSL
    • 3.3.9 DAMSL: The scheme
    • 3.3.10 Automated tagging of dialogue acts
  • 3.4 TRIPS
    • 3.4.1 System Architecture
    • 3.4.2 Human-computer communication
    • 3.4.3 The Interpretation Manager
    • 3.4.4 The Speech recogniser
    • 3.4.5 The Chart parser
    • 3.4.6 Task Manager
    • 3.4.7 The Reference and Discourse Context Components
    • 3.4.8 The Generation Manager
    • 3.4.9 Speech acts in TRIPS
  • 3.5 References
  • 3.6 Practical exercise.
    • 3.6.1 A small dialogue act taxonomy
    • 3.6.2 Instructions
  • 3.7 Comments on the Exercise
    • 3.7.1 Annotation reliability
    • 3.7.2 Multi-functional utterances
    • 3.7.3 Sub-dialogues
    • 3.7.4 An example annotation
• 4 Practical Session (MiLCA-Summer-School Tübingen, 2003)
  • 4.1 Exercise: Philips train information system
  • 4.2 The CLT tool
    • 4.2.1 Dialogue Specifications
    • 4.2.2 Devices and Variables
    • 4.2.3 The dialogue automaton
    • 4.2.4 Nodes
    • Output nodes
    • Input nodes
    • Variable nodes
    • Condition nodes
    • Subgraph and Procedure nodes
  • 4.3 Running a dialogue
  • 4.4 Exercise: Dialogue design using the CLT tool
  • 4.5 Designing a speaking elevator dialogue
• Bibliography
• Index