2007 HandbookOfLSA
- (Landauer et al., 2007) ⇒ Thomas K. Landauer (editor), Walter Kintsch (editor), Danielle S. McNamara (editor), Simon Dennis. (2007). “Handbook of Latent Semantic Analysis.” In: Routledge. ISBN:0805854185
Subject Headings: Latent Semantic Analysis, Probabilistic Topic Models, Semantic Similarity, Semantic Space, Vector Space Model.
Notes
Cited By
- ~179 http://scholar.google.com/ …
Quotes
Book Overview
The "Handbook of Latent Semantic Analysis" is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book of its kind to deliver such a comprehensive analysis, this volume explores every area of the method and combines theoretical implications as well as practical matters of LSA.
Readers will be introduced to a powerful new way of understanding language phenomena, as well as innovative ways to perform tasks that depend on language or other complex systems. The "Handbook "clarifies misunderstandings and pre-formed objections to LSA, and provides examples of exciting new educational technologies made possible by LSA and similar techniques. It raises issues in philosophy, artificial intelligence, and linguistics, while describing how LSA has underwritten a range of educational technologies and information systems. Alternate approaches to language understanding are addressed and compared to LSA.
This work is essential reading for anyone--newcomers to this area and experts alike-- interested in how human language works or interested in computational analysis and uses of text. Educational technologists, cognitive scientists, philosophers, and information technologists in particular will consider this volume especially useful.
Preface ix
Introduction to LSA: Theory and Methods
LSA as a Theory of Meaning
Mathematical Foundations Behind Latent Semantic Analysis
- Dian I. Martin Michael W. Berry p.35
How to Use the LSA Web Site
- Simon Dennis p.57
Creating Your Own LSA Spaces
- Jose Quesada p.71
LSA in Cognitive Theory
Meaning in Context
- Walter Kintsch p.89
Symbolic or Embodied Representations: A Case for Symbol Interdependency
- Max M. Louwerse p.107
Semantic Structure and Episodic Memory
- Marc W. Howard Bing Jing Kelly M. Addis Michael J. Kahana p.121
A Semantic Space for Modeling Children's Semantic Memory
- Guy Denhiere Benoit Lemaire Cedrick Bellissens Sandra Jhean-Larose p.143
Discourse Coherence and LSA
- Peter W. Foltz p.167
Spaces for Problem Solving
- Jose Quesada p.185
LSA in Educational Applications
Assessing and Improving Comprehension With Latent Semantic Analysis
- Keith Millis Joseph Magliano Katja Wiemer-Hastings Stacey Todaro Danielle S. McNamara p.207
Evaluating Self-Explanations in iSTART: Comparing Word-based and LSA Algorithms
- Danielle S. McNamara Chutima Boonthum Irwin Levinstein Keith Millis p.227
Using LSA in AutoTutor: Learning Through Mixed-Initiative Dialogue in Natural Language
- Art Graesser Phani Penumatsa Matthew Ventura Zhiqiang Cai Xiangen Hu p.243
Summary Street: Computer-Guided Summary Writing
- Eileen Kintsch Donna Caccamise Marita Franzke Nina Johnson Scott Dooley p.263
Automated Tools for Collaborative Learning Environments
- Lynn A. Streeter Karen E. Lochbaum Noelle LaVoie Joseph E. Psotka p.279
Information Retrieval and HCI Applications of LSA
LSA and Information Retrieval: Getting Back to Basics
- Susan T. Dumais p.293
Helping People Find and Learn From Documents: Exploiting Synergies Between Human and Computer Retrieval With SuperManual
- Peter W. Foltz Thomas K. Landauer p.323
Automating Usability Evaluation: Cognitive Walkthrough for the Web Puts LSA to Work on Real-World HCI Design Problems
- Marilyn Hughes Blackmon Dipti R. Mandalia Peter G. Polson Muneo Kitajima p.345
Extensions to LSA Optimizing LSA Measures of Cohesion
- Danielle S. McNamara Zhiqiang Cai Max M. Louwerse p. 379
Strengths, Limitations, and Extensions of LSA
- Xiangen Hu Zhiqiang Cai Peter Wiemer-Hastings Art C. Graesser Danielle S. McNamara p. 401
- Probabilistic Topic Models p.427
- (Steyvers & Griffiths, 2007) ⇒ Mark Steyvers, and Tom Griffiths. (2007). “Probabilistic Topic Models.” In: (Landauer et al., 2007).
Introducing Word Order Within the LSA Framework
- Simon Dennis p.449
Conclusion
LSA and Meaning: In Theory and Application
- Walter Kintsch Danielle S. McNamara Simon Dennis Thomas K. Landauer p.467
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2007 HandbookOfLSA | Handbook of Latent Semantic Analysis | Routledge | http://books.google.com/books?id=jgVWCuFXePEC | 2007 |