[단행본] Handbook of latent semantic analysis

다국어 초록 (Multilingual Abstract)

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.

(http://book.naver.com/bookdb/book_detail.nhn?bid=2823186)

국문 초록 (Abstract)

이 자료는 잠재의미에 대해 분석한 서적이며, 본 연구에서는 이를 바탕으로 잠재의미분석의 구체적 방법과 의의를 논의하고, 한국어 코퍼스 명사들의 잠재의미 분석을 진행하고자 하였다.

다국어 초록 (Multilingual Abstract)

Includes bibliographical references and index

(출처 : http://www.riss.kr/link?id=M11448798)

다국어 초록 (Multilingual Abstract)

PREFACE IX
PART I: INTRODUCTION TO LSA: THEORY AND METHODS
1 LSA AS A THEORY OF MEANING 3
THOMAS K. LANDAUER
2 MATHEMATICAL FOUNDATIONS BEHIND LATENT SEMANTIC ANALYSIS 35
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
PART II: LSA IN COGNITIVE THEORY
5 MEANING IN CONTEXT 89
WALTER KINTSCH
6 SYMBOLIC OR EMBODIED REPRESENTATIONS: A CASE FOR SYMBOL INTERDEPENDENCY 107
MAX M. LOUWERSE
7 SEMANTIC STRUCTURE AND EPISODIC MEMORY 121
MARC W. HOWARD, BING JING, KELLY M. ADDIS, AND MICHAEL J. KAHANA
8 A SEMANTIC SPACE FOR MODELING CHILDREN'S SEMANTIC MEMORY 143
GUY DENHI?E, BENOIT LEMAIRE, C?RICK 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 SEMANTIC ANALYSIS 207
KEITH MILLIS, JOSEPH MAGLIANO, KATJA WIEMER-HASTINGS, STACEY TODARO, AND DANIELLE S. MCNAMARA
12 EVALUATING SELF-EXPLANATIONS IN ISTART: COMPARING WORD-BASED AND LSA ALGORITHMS 227
DANIELLE S. MCNAMARA, CHUTIMA BOONTHUM, IRWIN LEVINSTEIN, AND KEITH MILLIS
13 USING LSA IN AUTOTUTOR: LEARNING THROUGH MIXED-INITIATIVE DIALOGUE IN NATURAL LANGUAGE 243
ART GRAESSER, PHANI PENUMATSA, MATTHEW VENTURA, ZHIQIANG CAI, AND XIANGEN HU
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 ENVIRONMENTS 279
LYNN A. STREETER, KAREN E. LOCHBAUM, NOELLE LAVOIE, AND JOSEPH E. PSOTKA
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: EXPLOITING SYNERGIES BETWEEN HUMAN AND COMPUTER RETRIEVAL WITH SUPERMANUAL?/TD> 323
PETER W. FOLTZ AND THOMAS K. LANDAUER
18 AUTOMATING USABILITY EVALUATION: COGNITIVE WALKTHROUGH FOR THE WEB PUTS LSA TO WORK ON REAL-WORLD HCI DESIGN PROBLEMS 345
MARILYN HUGHES BLACKMON, DIPTI R. MANDALIA, PETER G. POLSON, AND MUNEO KITAJIMA
PART V: EXTENSIONS TO LSA
19 OPTIMIZING LSA MEASURES OF COHESION 379
DANIELLE S. MCNAMARA, ZHIGIANG CAI, AND MAX M. LOUWERSE
20 STRENGTHS, LIMITATIONS, AND EXTENSIONS OF LSA 401
XIANGEN HU, ZHIQIANG CAI, PETER WIEMER-HASTINGS, ART C. GRAESSER, AND DANIELLE S. MCNAMARA
21 PROBABILISTIC TOPIC MODELS 427
MARK STEYVERS AND TOM GRIFFITHS
22 INTRODUCING WORD ORDER WITHIN THE LSA FRAMEWORK 449
SIMON DENNIS
PART VI: CONCLUSION
23 LSA AND MEANING: IN THEORY AND APPLICATION 467
WALTER KINTSCH, DANIELLE S. MCNAMARA, SIMON DENNIS, AND THOMAS K. LANDAUER
AUTHOR INDEX 481
SUBJECT INDEX 491



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