The Process of Question Answering: A Computer Simulation of Cognition 0470264853, 9781032327969, 9781003316817, 9781032328072

Table of contents :
Cover
Half Title
Title Page
Copyright Page
Original Title Page
Dedication
Original Copyright Page
Table of Contents
Preface
1 Problems, Previews, and Programs
1.0 Introduction
1.1 What Is Hard About Answering Questions?
1.2 Where We are Going
1.3 QUALM
1.4 Computer Programs Using QUALM
2 Motivation and Background
2.0 Human Question Answering
2.1 Conceptual Dependency
2.2 Causal Chain Constructions
2.3 Understanding Stories
2.4 Scripts and Plans
2.5 Story Representations
2.6 Artificial Intelligence and Cognitive Psychology
Part I: Interpretation: Understanding Questions
Introduction
Four Levels of Understanding
The Conceptual Parse
Memory Internalization
Conceptual Categorization
Inferential Analysis
3 Conceptual Categories for Questions
3.0 Introduction
3.1 Causal Antecedent
3.2 Goal Orientation
3.3 Enablement
3.4 Causal Consequent
3.5 Verification
3.6 Disjunctive
3.7 Instrumental/Procedural
3.8 Concept Completion
3.9 Expectational
3.10 Judgmental
3.11 Quantification
3.12 Feature Specification
3.13 Request
3.14 The Question Analyzer
4 Recategorizing Questions by Inferential Analysis
4.0 Introduction
4.1 Contextual Inferences
4.2 Context-Independent Inferences
4.3 Knowledge-State-Assessment Inferences
Part II: Memory Searches: Finding An Answer
Introduction
Deciding How To Answer a Question
Carrying Out Orders
Answering Better by Understanding More
Generation into English
5. Content Specification
5.0 Introduction
5.1 Intentionality
5.2 Elaboration Options
5.3 Category-Trace Instructions
5.4 Elaborating Upon Elaboration Options
6 Searching Memory
6.0 Introduction
6.1 Causal Antecedent
6.2 Goal Orientation
6.3 Enablement
6.4 Causal Consequent
6.5 Verification
6.6 Disjunctive
6.7 Instrumental/Procedural
6.8 Concept Completion
6.9 Expectational
6.10 Judgmental
6.11 Quantification
6.12 Feature Specification
6.13 Concluding Remarks on Retrieval Heuristics
7 Focus Establishment
7.0 Introduction
7.1 Different Kinds of Focus
7.2 When Focus Is Established
7.3 A Script-Based Focus Heuristic
8 Understanding What Did Not Happen
8.0 Introduction
8.1 Aroused Expectations
8.2 Violated Expectations
8.3 Answering Questions About Expectations
8.4 Answering Questions About Possibilities
8.5 Classification of Expectational Questions
8.6 Script-Based Expectations
8.7 How to Remember Things You Forgot
9 Finding the Best Answer
9.0 Introduction
9.1 Answer-Selection Model
9.2 Going Beyond Answer Selection
9.3 Looking Inside MBUILDs
9.4 Concluding Remarks
10 Conceptual Primitives for Physical Objects
10.0 Introduction
10.1 Object Primitives
10.2 Applications for Object Primitives
10.3 Conclusions
11 More Problems
11.0 Preface
11.1 Consistency Checks
11.2 Modeling Knowledge States
11.3 Conversation Theory
11.4 What Every Lawyer Should Know
11.5 General Q/A
12 Perspective and Conclusions
12.0 Preface
12.1 Other Q/A Systems
12.2 Summary
References
Author Index
Subject Index