Explores different ways that organizational moves and other discourse elements such as hedging are reflected in graduate student research abstracts for theses, dissertations and research articles. Master's thesis abstracts from five disciplines at California State University, San Bernardino were analyzed. Rhetorical conventions in these texts that reflect the epistemological and social expectations of the writers' academic communities were explored. Results indicate that these abstracts use a variety of hedging patterns and many of the moves that have been described for published research articles.

by Tang Wai-yu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 95-102). / ACKNOWLEDGEMENTS --- p.i / ABSTRACT --- p.ii / TABLE OF CONTENT --- p.iv / LISTS OF TABLES --- p.vii / LISTS OF FIGURES --- p.viii / CHAPTER / Chapter 1 --- INTRODUCTION --- p.1 / Background of the Study --- p.1 / Purpose of the Study --- p.3 / Significance of the Study --- p.4 / Chapter 2 --- REVIEW OF LITERATURE --- p.6 / Macrostructure Theory --- p.6 / Micro structure of Discourse --- p.6 / Macrostructure and Macrorules --- p.7 / Macro-operations --- p.8 / Cognitive Operations to Summarization --- p.11 / Brown & Day's Macrorules of Summarization --- p.11 / N. S. Johnson's Six Operations --- p.14 / Training Studies on Improving Summarization --- p.17 / Traditional Training Practice --- p.17 / Explicit Instruction Progrrammes --- p.18 / Mapping and Questioning Techniques --- p.19 / Direct Instruction Training --- p.20 / Research Studies of Direct Instruction --- p.22 / Instruction in Metacognition Strategies --- p.25 / Definition of Metacognition --- p.25 / Metacognitive Instruction --- p.27 / Summarization of Expository Text --- p.32 / Sensitivity to Text Structure --- p.33 / Fostering Awareness of Expository Text Structure --- p.35 / Scoring of Summarization of Expository Text --- p.38 / Summary Rule Usage Criteria --- p.38 / Identification of Main Idea --- p.40 / Quality of Writing --- p.40 / Chapter 3 --- METHOD --- p.42 / Definitions --- p.42 / Hypotheses --- p.44 / Subject --- p.44 / Materials --- p.45 / Rulesheets --- p.45 / Training and Testing passages --- p.46 / Questionnaire --- p.48 / Procedure --- p.48 / Pilot Study --- p.48 / Pretest --- p.50 / The Training Programme --- p.50 / Instructional principles --- p.50 / Strategies training --- p.51 / Instructional procedures --- p.52 / Control group --- p.54 / Posttest --- p.55 / Scoring --- p.55 / Rule Use --- p.55 / Main Idea --- p.56 / Quality of Writing --- p.56 / Data Analysis --- p.57 / Chapter 4 --- RESULTS --- p.59 / Reliability and Descriptive Statistics of Summary Test Scores --- p.59 / The Effect of the Training Programme on the Main Idea Score --- p.61 / Effects of the Training Programme on the Rule Use Scores --- p.63 / Effects of the Training Programme on the Writing Skill Scores --- p.66 / Effect of the Training Programme on Knowledge of Metacognitive Strategies --- p.72 / Chapter 5 --- DISCUSSION --- p.76 / Acquisition of Macrorules --- p.78 / Formulation of Main Ideas --- p.82 / Acquisition of Writing Skills --- p.84 / Acquisition of Metacognitive Strategies in Summarization --- p.85 / Chapter 6 --- LIMITATIONS AND SUGGESTIONS --- p.87 / Summary --- p.87 / Limitations --- p.89 / Instructional Implications --- p.90 / Awareness of Task Goals --- p.90 / Sensitivity to Importance --- p.90 / Use of Macrorules for Summarization --- p.91 / Selection of Materials --- p.92 / Recommendation for Future Research --- p.93 / REFERENCES --- p.95 / APPENDICES --- p.103

Lo Sau-Han Silvia. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 137-143). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Definition of a summary --- p.2 / Chapter 1.2 --- Definition of text summarization --- p.3 / Chapter 1.3 --- Previous work --- p.4 / Chapter 1.3.1 --- Extract-based text summarization --- p.5 / Chapter 1.3.2 --- Abstract-based text summarization --- p.8 / Chapter 1.3.3 --- Sophisticated text summarization --- p.9 / Chapter 1.4 --- Summarization evaluation methods --- p.10 / Chapter 1.4.1 --- Intrinsic evaluation --- p.10 / Chapter 1.4.2 --- Extrinsic evaluation --- p.11 / Chapter 1.4.3 --- The TIPSTER SUMMAC text summarization evaluation --- p.11 / Chapter 1.4.4 --- Text Summarization Challenge (TSC) --- p.13 / Chapter 1.5 --- Research contributions --- p.14 / Chapter 1.5.1 --- Text summarization based on thematic term approach --- p.14 / Chapter 1.5.2 --- Bilingual news summarization based on an event-driven approach --- p.15 / Chapter 1.6 --- Thesis organization --- p.16 / Chapter 2 --- Text Summarization based on a Thematic Term Approach --- p.17 / Chapter 2.1 --- System overview --- p.18 / Chapter 2.2 --- Document preprocessor --- p.20 / Chapter 2.2.1 --- English corpus --- p.20 / Chapter 2.2.2 --- English corpus preprocessor --- p.22 / Chapter 2.2.3 --- Chinese corpus --- p.23 / Chapter 2.2.4 --- Chinese corpus preprocessor --- p.24 / Chapter 2.3 --- Corpus thematic term extractor --- p.24 / Chapter 2.4 --- Article thematic term extractor --- p.26 / Chapter 2.5 --- Sentence score generator --- p.29 / Chapter 2.6 --- Chapter summary --- p.30 / Chapter 3 --- Evaluation for Summarization using the Thematic Term Ap- proach --- p.32 / Chapter 3.1 --- Content-based similarity measure --- p.33 / Chapter 3.2 --- Experiments using content-based similarity measure --- p.36 / Chapter 3.2.1 --- English corpus and parameter training --- p.36 / Chapter 3.2.2 --- Experimental results using content-based similarity mea- sure --- p.38 / Chapter 3.3 --- Average inverse rank (AIR) method --- p.59 / Chapter 3.4 --- Experiments using average inverse rank method --- p.60 / Chapter 3.4.1 --- Corpora and parameter training --- p.61 / Chapter 3.4.2 --- Experimental results using AIR method --- p.62 / Chapter 3.5 --- Comparison between the content-based similarity measure and the average inverse rank method --- p.69 / Chapter 3.6 --- Chapter summary --- p.73 / Chapter 4 --- Bilingual Event-Driven News Summarization --- p.74 / Chapter 4.1 --- Corpora --- p.75 / Chapter 4.2 --- Topic and event definitions --- p.76 / Chapter 4.3 --- Architecture of bilingual event-driven news summarization sys- tem --- p.77 / Chapter 4.4 --- Bilingual event-driven approach summarization --- p.80 / Chapter 4.4.1 --- Dictionary-based term translation applying on English news articles --- p.80 / Chapter 4.4.2 --- Preprocessing for Chinese news articles --- p.89 / Chapter 4.4.3 --- Event clusters generation --- p.89 / Chapter 4.4.4 --- Cluster selection and summary generation --- p.96 / Chapter 4.5 --- Evaluation for summarization based on event-driven approach --- p.101 / Chapter 4.6 --- Experimental results on event-driven summarization --- p.103 / Chapter 4.6.1 --- Experimental settings --- p.103 / Chapter 4.6.2 --- Results and analysis --- p.105 / Chapter 4.7 --- Chapter summary --- p.113 / Chapter 5 --- Applying Event-Driven Summarization to a Parallel Corpus --- p.114 / Chapter 5.1 --- Parallel corpus --- p.115 / Chapter 5.2 --- Parallel documents preparation --- p.116 / Chapter 5.3 --- Evaluation methods for the event-driven summaries generated from the parallel corpus --- p.118 / Chapter 5.4 --- Experimental results and analysis --- p.121 / Chapter 5.4.1 --- Experimental settings --- p.121 / Chapter 5.4.2 --- Results and analysis --- p.123 / Chapter 5.5 --- Chapter summary --- p.132 / Chapter 6 --- Conclusions and Future Work --- p.133 / Chapter 6.1 --- Conclusions --- p.133 / Chapter 6.2 --- Future work --- p.135 / Bibliography --- p.137 / Chapter A --- English Stop Word List --- p.144 / Chapter B --- Chinese Stop Word List --- p.149 / Chapter C --- Event List Items on the Corpora --- p.151 / Chapter C.1 --- "Event list items for the topic ""Upcoming Philippine election""" --- p.151 / Chapter C.2 --- "Event list items for the topic ""German train derail"" " --- p.153 / Chapter C.3 --- "Event list items for the topic ""Electronic service delivery (ESD) scheme"" " --- p.154 / Chapter D --- The sample of an English article (9505001.xml). --- p.156

Wang Fu Lee. / "August 2003." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (p. 256-281). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

by Tang Ting Kap. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 88-94). / Abstracts in English and Chinese. / List of Figures --- p.vi / List of Tables --- p.vii / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Information Overloading and Low Utilization --- p.2 / Chapter 1.2 --- Problem Needs To Solve --- p.3 / Chapter 1.3 --- Research Contributions --- p.4 / Chapter 1.3.1 --- Using Concept Space in Summarization --- p.5 / Chapter 1.3.2 --- New Extraction Method --- p.5 / Chapter 1.3.3 --- Experiments on New System --- p.6 / Chapter 1.4 --- Organization of This Thesis --- p.7 / Chapter 2. --- LITERATURE REVIEW --- p.8 / Chapter 2.1 --- Classical Approach --- p.8 / Chapter 2.1.1 --- Luhn's Algorithm --- p.9 / Chapter 2.1.2 --- Edumundson's Algorithm --- p.11 / Chapter 2.2 --- Statistical Approach --- p.15 / Chapter 2.3 --- Natural Language Processing Approach --- p.15 / Chapter 3. --- PROPOSED SUMMARIZATION APPROACH --- p.18 / Chapter 3.1 --- Direction of Summarization --- p.19 / Chapter 3.2 --- Overview of Summarization Algorithm --- p.20 / Chapter 3.2.1 --- Document Pre-processing --- p.21 / Chapter 3.2.2 --- Vector Space Model --- p.23 / Chapter 3.2.3 --- Sentence Extraction --- p.24 / Chapter 3.3 --- Evaluation Method --- p.25 / Chapter 3.3.1 --- "Recall, Precision and F-measure" --- p.25 / Chapter 3.4 --- Advantage of Concept Space Approach --- p.26 / Chapter 4. --- SYSTEM ARCHITECTURE --- p.27 / Chapter 4.1 --- Converge Process --- p.28 / Chapter 4.2 --- Diverge Process --- p.30 / Chapter 4.3 --- Backward Search --- p.31 / Chapter 5. --- CONVERGE PROCESS --- p.32 / Chapter 5.1 --- Document Merging --- p.32 / Chapter 5.2 --- Word Phrase Extraction --- p.34 / Chapter 5.3 --- Automatic Indexing --- p.34 / Chapter 5.4 --- Cluster Analysis --- p.35 / Chapter 5.5 --- Hopfield Net Classification --- p.37 / Chapter 6. --- DIVERGE PROCESS --- p.42 / Chapter 6.1 --- Concept Terms Refinement --- p.42 / Chapter 6.2 --- Sentence Selection --- p.43 / Chapter 6.3 --- Backward Searching --- p.46 / Chapter 7. --- EXPERIMENT AND RESEARCH FINDINGS --- p.48 / Chapter 7.1 --- System-generated Summary v.s. Source Documents --- p.52 / Chapter 7.1.1 --- Compression Ratio --- p.52 / Chapter 7.1.2 --- Information Loss --- p.54 / Chapter 7.2 --- System-generated Summary v.s. Human-generated Summary --- p.58 / Chapter 7.2.1 --- Background of EXTRACTOR --- p.59 / Chapter 7.2.2 --- Evaluation Method --- p.61 / Chapter 7.3 --- Evaluation of different System-generated Summaries by Human Experts --- p.63 / Chapter 8. --- CONCLUSIONS AND FUTURE RESEARCH --- p.68 / Chapter 8.1 --- Conclusions --- p.68 / Chapter 8.2 --- Future Work --- p.69 / Chapter A. --- EXTRACTOR SYSTEM FLOW AND TEN-STEP PROCEDURE --- p.71 / Chapter B. --- SUMMARY GENERATED BY MS WORD2000 --- p.75 / Chapter C. --- SUMMARY GENERATED BY EXTRACTOR SOFTWARE --- p.76 / Chapter D. --- SUMMARY GENERATED BY OUR SYSTEM --- p.77 / Chapter E. --- SYSTEM-GENERATED WORD PHRASES FROM TEST SAMPLE --- p.78 / Chapter F. --- WORD PHRASES IDENTIFIED BY SUBJECTS --- p.79 / Chapter G. --- SAMPLE OF QUESTIONNAIRE --- p.84 / Chapter H. --- RESULT OF QUESTIONNAIRE --- p.85 / Chapter I. --- EVALUATION FOR DIVERGE PROCESS --- p.86 / BIBLIOGRAPHY --- p.88

No description available.

Thesis (D.A.)--Illinois State University, 1987. / Title from title page screen, viewed August 23, 2005. Dissertation Committee: Janice G. Neuleib (chair), Ronald J. Fortune, Gail E. Hawisher, Elizabeth S. McMahan, Janet M. Youga. Includes bibliographical references (leaves 132-143) and abstract. Also available in print.

Thesis (D.A.)--Illinois State University, 1987. / Title from title page screen, viewed August 12, 2005. Dissertation Committee: Ronald Fortune (chair), Fay Bowren, Glenn Grever, Janice Neuleib, Maurice Scharton. Includes bibliographical references (leaves 194-200) and abstract. Also available in print.

The music periodical literature of the 19th century has largely remained unavailable to musical scholarship due to a lack of adequate indexing. While several indexing efforts have been attempted in the past century, that proposed by the recently established Répertoire international de la presse musicale du dix-neuviéme siécle (RIPMxix) sets itself apart by its comprehensiveness and its use of computer technology. This thesis tests the new system by preparing a prototype RIPMxix Series A catalogue of a major 19th-century French music journal, La Chronique Musicale (1873-1876). The prototype is in five parts: 1) a Title Catalogue, or chronological checklist of the titles, authors and pagination of all sections in the journal; 2) an Iconography Appendix, listing the captions, dimensions and pagination of all iconography in the journal; 3) a List of Variants, giving alternate pagination references in copies of the journal held by selected major institutions; 4) a Keyword Index of important words contained in article titling; and 5) an Author Index. The indexing of La Chronique Musicale was carried out according to the regulations established in the RIPMxix Series A Guidelines, incorporating minor improvements in presentation, and adjudicating certain indexing situations not addressed in them. A data entry system was developed and the typescript catalogue was entered into computer file space. Detailed formatting based on the general design presented in the RIPMxix Series A Guidelines was specified for the Title Catalogue, Iconography Appendix and List of Variants. To produce the remaining portions of the prototype (viz., the Keyword and Author Indexes), design options were studied, specific designs adopted and detailed formatting established. Production of the prototype involved the development of three computer programmes: a single programme for the Title Catalogue, Iconography Appendix and List of Variants; a separate programme for the Keyword Index; and a third programme for the Author Index. It is concluded that the title-derivative approach taken by the RIPMxix system is a valid one, and suggestions are made for further research. / Arts, Faculty of / Music, School of / Graduate

The last decade has seen an unprecedented flood of material coming into archival repositories. As a result, there is a great need for procedures which provide a high degree of intellectual control over records. One such procedure is the indexing of archival materials. An archival index provides access to a large number of name and subject terms, without being bound by the traditional archival structures dictated by provenance. This process has not traditionally been widely understood by archivists, but it is important to grasp the fundamental principles of archival indexing, as well as the problems and issues that follow. This is especially true in a period when methods of automated information processing have reached new levels of sophistication. This thesis is an exploration of these problems and issues. The place of indexing in a complete system of archival description is established, and the process defended as a valid part of archival retrieval. The thesis also offers guidelines for conducting the actual indexing process, and making several basic decisions faced by archival indexers with regard to the implementation of indexing in an archival descriptive system. In addition, the merits of such alternative methods as controlled-vocabulary and uncontrolled-vocabulary indexing, and coordination of desired terms before and after index creation, are weighed, and the positive and negative aspects of certain recently-developed systems evaluated. The thesis concludes by stating ways in which archivists must re-evaluate the indexing process for it to be used effectively in the future. / Arts, Faculty of / Library, Archival and Information Studies (SLAIS), School of / Graduate