Handbook of Latent Semantic Analysis
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...
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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 are 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 ixIntroduction to LSA: Theory and MethodsLSA as a Theory of Meaning Thomas K Landauer 3Mathematical Foundations Behind Latent Semantic Analysis Dian I. Martin Michael W. Berry 35How to Use the LSA Web Site Simon Dennis 57Creating Your Own LSA Spaces Jose Quesada 71LSA in Cognitive TheoryMeaning in Context Walter Kintsch 89Symbolic or Embodied Representations: A Case for Symbol Interdependency Max M. Louwerse 107Semantic Structure and Episodic Memory Marc W. Howard Bing Jing Kelly M. Addis Michael J. Kahana 121A Semantic Space for Modeling Children's Semantic Memory Guy Denhiere Benoit Lemaire Cedrick Bellissens Sandra Jhean-Larose 143Discourse Coherence and LSA Peter W. Foltz 167Spaces for Problem Solving Jose Quesada 185LSA in Educational ApplicationsAssessing and Improving Comprehension With Latent Semantic Analysis Keith Millis Joseph Magliano Katja Wiemer-Hastings Stacey Todaro Danielle S. McNamara 207Evaluating Self-Explanations in iSTART: Comparing Word-Based and LSA Algorithms Danielle S. McNamara Chutima Boonthum Irwin Levinstein Keith Millis 227Using LSA in AutoTutor: Learning Through Mixed-Initiative Dialogue in Natural Language Art Graesser Phani Penumatsa Matthew Ventura Zhiqiang Cai Xiangen Hu 243Summary Street: Computer-Guided Summary Writing Eileen Kintsch Donna Caccamise Marita Franzke Nina Johnson Scott Dooley 263Automated Tools for Collaborative Learning Environments Lynn A. Streeter Karen E. Lochbaum Noelle LaVoie Joseph E. Psotka 279Information Retrieval and HCI Applications of LSALSA and Information Retrieval: Getting Back to Basics Susan T. Dumais 293Helping People Find and Learn From Documents: Exploiting Synergies Between Human and Computer Retrieval With SuperManual Peter W. Foltz Thomas K Landauer 323Automating 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 345Extensions to LSAOptimizing LSA Measures of Cohesion Danielle S. McNamara Zhiqiang Cai Max M. Louwerse 379Strengths, Limitations, and Extensions of LSA Xiangen Hu Zhiqiang Cai Peter Wiemer-Hastings Art C. Graesser Danielle S. McNamara 401Probabilistic Topic Models Mark Steyvers Tom Griffiths 427Introducing Word Order Within the LSA Framework Simon Dennis 449ConclusionLSA and Meaning: In Theory and Application Walter Kintsch Danielle S. McNamara Simon Dennis Thomas K Landauer 467Author Index 481Subject Index 491
