Handbook of latent semantic analysis:
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Mahwah, NJ [u.a.]
Erlbaum
2007
|
| Series: | University of Colorado Institute of Cognitive Science series
|
| Subjects: | |
| Online Access: | Table of contents only Contributor biographical information Publisher description Inhaltsverzeichnis Klappentext |
| Item Description: | Hier auch später erschienene, unveränderte Nachdrucke |
| Physical Description: | XII, 532 S. graph. Darst. |
| ISBN: | 9780805854183 0805854185 9781410615343 1410615340 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents
Preface
ix
PART I: INTRODUCTION TO LSA: THEORY
AND METHODS
1
LSA as a Theory of Meaning
3
Thomas
К
Landauer
2
Mathematical Foundations Behind Latent Semantic
35
Analysis
Dian
I. Martin and Michael W. Berry
3
How to Use the LSA Web Site
57
Simon Dennis
4
Creating Your Own LSA Spaces
71
Jose Quesada
vi
___________________________________________ CONTENTS
PART II: LSA IN COGNITIVE THEORY
5
Meaning in Context
89
Walter Kintsch
6
Symbolic or Embodied Representations: A Case for
107
Symbol Interdependency
Max M. Louwerse
7
Semantic Structure and Episodic Memory
121
Marc W. Howard, Bingjing, Kelly M. Addis,
and Michael
J. Kahana
8
A Semantic Space for Modeling Children s
143
Semantic Memory
Guy Denhière, Benoît Lemaire, Cédrick Bellissens,
and Sandra Jhean-Larose
9
Discourse Coherence and LSA
167
Peter W. Foltz
10
Spaces for Problem Solving
185
Jose Quesada
PART III: LSA IN EDUCATIONAL APPLICATIONS
11
Assessing and Improving Comprehension With Latent
207
Semantic Analysis
Keith Millis, Joseph
Mugliano,
Katja Wiemer-Hastings,
Stacey Todaro, and Danielle S. McNamara
12
Evaluating Self-Explanations in iSTART: Comparing
227
Word-Based and LSA Algorithms
Danielle S. McNamara, Chutirm Boonthum,
Irwin
Levinstein, and Keith Millis
13
Using LSA in AutoTutoK Learning Through
243
Mixed-Initiative Dialogue in Natural Language
Art Graesser, Phani Penumatsa, Matthew Ventura,
Zhiqiang
Cai,
and Xiangen
Ни
CONTENTS___________________________________________________
vii
14
Summary Street®: Computer-Guided Summary Writing
263
Eileen Kintsch, Donna Caccamise,
Marita
Franzke, Nina
Johnson, and Scott Dooley
15
Automated Tools for Collaborative Learning
279
Environments
Lynn A. Streeter, Karen E.
Lochbaum,
Noëlle LaVoie,
and Joseph
E. Psoïka
PART IV: INFORMATION RETRIEVAL AND HCI
APPLICATIONS OF LSA
16
LSA and Information Retrieval: Getting Back to Basics
293
Susan T. Dumais
17
Helping People Find and Learn From Documents:
323
Exploiting Synergies Between Human and
Computer Retrieval With
SuperManual®
Peter W. Foltz and Thomas
К
Landauer
18
Automating Usability Evaluation: Cognitive Walkthrough
345
for the Web Puts LSA to Work on Real-World HCI
Design Problems
Marilyn Hughes Blackmon, Dipti R. Mandalia, Peter G.
Poison, and Muneo Kitajima
PART V: EXTENSIONS TO LSA
19
Optimizing LSA Measures of Cohesion
379
Danielle S. McNamara, Zhiqiang
Cai,
and Max M. Louwerse
20
Strengths, Limitations, and Extensions of LSA
401
Xiangen
Ни,
Zhiqiang
Cai,
Peter Wiemer-Hastings,
Art C, Graesser, and Danielle S. McNamara
21
Probabilistic Topic Models
427
Mark SteyOers and Tom Griffiths
22
Introducing Word Order Within the LSA Framework
449
Simon Dennis
viii
______________________________________________CONTENTS
PART VI: CONCLUSION
23
LSA and Meaning: In Theory and Application
467
Walter Kintsch, Danielle
S. MčlSSamara,
Simon Dennis,
ană
Thomas
К
Landauer
Author Index
481
Subject Index
491
*· * Latent
Semantic
Analysis (LSA) is a theory and
method for extracting and representing the meaning
of words and passages of words. Meaning is estimated
using statistical computations applied to large corpora
of text. As a representative sample of human language
experience, text embodies the same mutual
constraints that determine the semantic similarity of
words and sets of words for people. A basic tenet of
this approach is that human cognition has been
optimized to the structure of the environment, so to
*
understand cognition one should try to find rigorous
models that match natural human achievements.
LSA has been highly successful both as a theory of verbal meaning and cognition and as a
practical tool for measuring similarities and differences of meaning. Handbook of Latent
Semantic Analysis provides readers with a thorough introduction to the rationale and theory
underlying LSA, information about how to use LSA, implications of LSA for cognitive theories,
and examples of how LSA has been applied to practical problems. Further, it illustrates how
LSA can be extended to answer a wide array of theoretical and applied questions. It also
discusses many of LSA s shortcomings as a complete theory of cognition, as well as philosophical
questions and arguments concerning its nature.
This volume will be of interest to a wide audience including philosophers of language and mind,
cognitive scientists, experimental and applied psychologists, linguists, educators, and
information specialists.
|
| adam_txt |
Contents
Preface
ix
PART I: INTRODUCTION TO LSA: THEORY
AND METHODS
1
LSA as a Theory of Meaning
3
Thomas
К
Landauer
2
Mathematical Foundations Behind Latent Semantic
35
Analysis
Dian
I. Martin and Michael W. Berry
3
How to Use the LSA Web Site
57
Simon Dennis
4
Creating Your Own LSA Spaces
71
Jose Quesada
vi
_ CONTENTS
PART II: LSA IN COGNITIVE THEORY
5
Meaning in Context
89
Walter Kintsch
6
Symbolic or Embodied Representations: A Case for
107
Symbol Interdependency
Max M. Louwerse
7
Semantic Structure and Episodic Memory
121
Marc W. Howard, Bingjing, Kelly M. Addis,
and Michael
J. Kahana
8
A Semantic Space for Modeling Children's
143
Semantic Memory
Guy Denhière, Benoît Lemaire, Cédrick Bellissens,
and Sandra Jhean-Larose
9
Discourse Coherence and LSA
167
Peter W. Foltz
10
Spaces for Problem Solving
185
Jose Quesada
PART III: LSA IN EDUCATIONAL APPLICATIONS
11
Assessing and Improving Comprehension With Latent
207
Semantic Analysis
Keith Millis, Joseph
Mugliano,
Katja Wiemer-Hastings,
Stacey Todaro, and Danielle S. McNamara
12
Evaluating Self-Explanations in iSTART: Comparing
227
Word-Based and LSA Algorithms
Danielle S. McNamara, Chutirm Boonthum,
Irwin
Levinstein, and Keith Millis
13
Using LSA in AutoTutoK Learning Through
243
Mixed-Initiative Dialogue in Natural Language
Art Graesser, Phani Penumatsa, Matthew Ventura,
Zhiqiang
Cai,
and Xiangen
Ни
CONTENTS_
vii
14
Summary Street®: Computer-Guided Summary Writing
263
Eileen Kintsch, Donna Caccamise,
Marita
Franzke, Nina
Johnson, and Scott Dooley
15
Automated Tools for Collaborative Learning
279
Environments
Lynn A. Streeter, Karen E.
Lochbaum,
Noëlle LaVoie,
and Joseph
E. Psoïka
PART IV: INFORMATION RETRIEVAL AND HCI
APPLICATIONS OF LSA
16
LSA and Information Retrieval: Getting Back to Basics
293
Susan T. Dumais
17
Helping People Find and Learn From Documents:
323
Exploiting Synergies Between Human and
Computer Retrieval With
SuperManual®
Peter W. Foltz and Thomas
К
Landauer
18
Automating Usability Evaluation: Cognitive Walkthrough
345
for the Web Puts LSA to Work on Real-World HCI
Design Problems
Marilyn Hughes Blackmon, Dipti R. Mandalia, Peter G.
Poison, and Muneo Kitajima
PART V: EXTENSIONS TO LSA
19
Optimizing LSA Measures of Cohesion
379
Danielle S. McNamara, Zhiqiang
Cai,
and Max M. Louwerse
20
Strengths, Limitations, and Extensions of LSA
401
Xiangen
Ни,
Zhiqiang
Cai,
Peter Wiemer-Hastings,
Art C, Graesser, and Danielle S. McNamara
21
Probabilistic Topic Models
427
Mark SteyOers and Tom Griffiths
22
Introducing Word Order Within the LSA Framework
449
Simon Dennis
viii
_CONTENTS
PART VI: CONCLUSION
23
LSA and Meaning: In Theory and Application
467
Walter Kintsch, Danielle
S. MčlSSamara,
Simon Dennis,
ană
Thomas
К
Landauer
Author Index
481
Subject Index
491
*·'* Latent
Semantic
Analysis (LSA) is a theory and
method for extracting and representing the meaning
of words and passages of words. Meaning is estimated
using statistical computations applied to large corpora
of text. As a representative sample of human language
experience, text embodies the same mutual
constraints that determine the semantic similarity of
words and sets of words for people. A basic tenet of
this approach is that human cognition has been
optimized to the structure of the environment, so to
*"
understand cognition one should try to find rigorous
models that match natural human achievements.
LSA has been highly successful both as a theory of verbal meaning and cognition and as a
practical tool for measuring similarities and differences of meaning. Handbook of Latent
Semantic Analysis provides readers with a thorough introduction to the rationale and theory
underlying LSA, information about how to use LSA, implications of LSA for cognitive theories,
and examples of how LSA has been applied to practical problems. Further, it illustrates how
LSA can be extended to answer a wide array of theoretical and applied questions. It also
discusses many of LSA's shortcomings as a complete theory of cognition, as well as philosophical
questions and arguments concerning its nature.
This volume will be of interest to a wide audience including philosophers of language and mind,
cognitive scientists, experimental and applied psychologists, linguists, educators, and
information specialists. |
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| index_date | 2024-07-02T19:05:00Z |
| indexdate | 2024-07-09T21:08:39Z |
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| owner_facet | DE-29 DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-12 DE-188 DE-20 DE-473 DE-BY-UBG |
| physical | XII, 532 S. graph. Darst. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Erlbaum |
| record_format | marc |
| series2 | University of Colorado Institute of Cognitive Science series |
| spelling | Handbook of latent semantic analysis ed. by Thomas K. Landauer ... Latent semantic analysis Mahwah, NJ [u.a.] Erlbaum 2007 XII, 532 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier University of Colorado Institute of Cognitive Science series Hier auch später erschienene, unveränderte Nachdrucke Semantics - Data processing blmsh Semantics - Mathematical models blmsh Semantics - Psychological aspects blmsh Datenverarbeitung Mathematisches Modell Psychologie Semantics Data processing Semantics Mathematical models Semantics Psychological aspects Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Semasiologie (DE-588)4077365-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Semasiologie (DE-588)4077365-6 s Computerlinguistik (DE-588)4035843-4 s DE-604 Landauer, Thomas K. Sonstige oth http://www.loc.gov/catdir/toc/ecip0613/2006014971.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0664/2006014971-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0701/2006014971-d.html Publisher description Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016166111&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016166111&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Handbook of latent semantic analysis Semantics - Data processing blmsh Semantics - Mathematical models blmsh Semantics - Psychological aspects blmsh Datenverarbeitung Mathematisches Modell Psychologie Semantics Data processing Semantics Mathematical models Semantics Psychological aspects Computerlinguistik (DE-588)4035843-4 gnd Semasiologie (DE-588)4077365-6 gnd |
| subject_GND | (DE-588)4035843-4 (DE-588)4077365-6 (DE-588)4143413-4 |
| title | Handbook of latent semantic analysis |
| title_alt | Latent semantic analysis |
| title_auth | Handbook of latent semantic analysis |
| title_exact_search | Handbook of latent semantic analysis |
| title_exact_search_txtP | Handbook of latent semantic analysis |
| title_full | Handbook of latent semantic analysis ed. by Thomas K. Landauer ... |
| title_fullStr | Handbook of latent semantic analysis ed. by Thomas K. Landauer ... |
| title_full_unstemmed | Handbook of latent semantic analysis ed. by Thomas K. Landauer ... |
| title_short | Handbook of latent semantic analysis |
| title_sort | handbook of latent semantic analysis |
| topic | Semantics - Data processing blmsh Semantics - Mathematical models blmsh Semantics - Psychological aspects blmsh Datenverarbeitung Mathematisches Modell Psychologie Semantics Data processing Semantics Mathematical models Semantics Psychological aspects Computerlinguistik (DE-588)4035843-4 gnd Semasiologie (DE-588)4077365-6 gnd |
| topic_facet | Semantics - Data processing Semantics - Mathematical models Semantics - Psychological aspects Datenverarbeitung Mathematisches Modell Psychologie Semantics Data processing Semantics Mathematical models Semantics Psychological aspects Computerlinguistik Semasiologie Aufsatzsammlung |
| url | http://www.loc.gov/catdir/toc/ecip0613/2006014971.html http://www.loc.gov/catdir/enhancements/fy0664/2006014971-b.html http://www.loc.gov/catdir/enhancements/fy0701/2006014971-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016166111&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016166111&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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