Book description
The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research.
A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself.
A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields.
Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Foreword
- Preface
-
PART I: COMPUTER MODELS
- Chapter 1: Word Expert Parsing Revisited in a Cognitive Science Perspective
- Chapter 2: Lexical Ambiguity Resolution in a Deterministic Parser
- Chapter 3: Resolving Lexical Ambiguity Computationally with Spreading Activation and Polaroid Words
- Chapter 4: Are Vague Words Ambiguous?
- Chapter 5: Disambiguation in a Lexically Based Sentence Understanding System
- Chapter 6: An Account of Coherence, Semantic Relations, Metonymy, and Lexical Ambiguity Resolution
- Chapter 7: A Model of Lexical Access of Ambiguous Words
- Chapter 8: Distributed Representations of Ambiguous Words and Their Resolution in a Connectionist Network
-
Chapter 9: Process Synchronization, Lexical Ambiguity Resolution, and Aphasia
- Publisher Summary
- 1 Introduction
- 2 HOPE Models Normal Sentence Processing
- 3 Viewing Ambiguity in Processing
- 4 An Interpretation of Neural Ambiguity—Neural Evidence of Multiple Representation and Multiple Effect
- 5 Representation of Ambiguity in HOPE
- 6 Aphasic Evidence and HOPE Representations
- 7 The HOPE Lexicon—A Distributed Representation of a Word
- 8 Linguistic Performance Assumptions Inherent in the HOPE System Design
- 9 The Internal Control of Disambiguation in HOPE
- 10 Parallelism in HOPE
- 11 A Summary of the HOPE Architecture
- 12 The Role of Time in HOPE Processing
- 13 Syntactic Disambiguation over Time
- 14 Developing Hypothesized Patient Profiles—The Role of Disambiguation
- 15 Conclusions
- Acknowledgments
-
PART II: EMPIRICAL STUDIES
- Chapter 10: Implications of Lexical Ambiguity Resolution for Word Recognition and Comprehension
- Chapter 11: Lexical Processing and Ambiguity Resolution: An Autonomous Process in an Interactive Box
- Chapter 12: Is Multiple Access an Artifact of Backward Priming?
- Chapter 13: Sentential Context and Lexical Access
- Chapter 14: The Verb Mutability Effect: Studies of the Combinatorial Semantics of Nouns and Verbs
- Chapter 15: (Almost) Never Letting Go: Inference Retention during Text Understanding
- Chapter 16: Neuropsychology of Lexical Ambiguity Resolution: The Contribution of Divided Visual Field Studies
- Chapter 17: Tracking the Time Course of Meaning Activation
-
Chapter 18: Cognitive Topology and Lexical Networks
- Publisher Summary
- 1 Cognitive Topology versus Semantic Features
- 2 Two Levels of Prototype Structure
- 3 The Problem
- 7 The Reflexive Schemas
- 8 The Excess Schema
- 9 The Repetition Schema
- 10 Some Metaphorical Senses
- 11 Motivation
- 12 More Metaphorical Senses
- 13 Image-Schemas as Links between Perception and Reason
- 14 The Nature of Image-Schema Transformations
- 16 Conclusion
- Index
Product information
- Title: Lexical Ambiguity Resolution
- Author(s):
- Release date: October 2013
- Publisher(s): Morgan Kaufmann
- ISBN: 9780080510132
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