Search (75 results, page 3 of 4)

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Abstract

Abstracts enable users to judge the relevance of articles, provide a summary and may be a substitute for the original document. Defines abstracts and considers who they are written be according to the American National Standards Institute (ANSI) and other sources. Distinguishes between indicative and informative abstracts. Informative abstracts are preferred by ANSI and ERIC. Discusses the content and procedures for abstracting, writing style, tests of quality and readability and informativeness. Presents statistics analyzing abstracts from 3 general interest databases and on abstract length and type

Type

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Abstract

State of the art review of UK developments in indexing and abstracting druing the period 1986-1990 covering: bibliographies of indexing and abstracting; British standards (including the revised British Standard on indexing, BS 3700); Wheatley Medal and Carey Award; a list of indexes published during this period; the role of the computer and automatic indexing; hypermedia; PRECIS; POPSI, relational indexing; thesauri; education and training; the indexing process, newspaper indexing; fiction indexes; the indexing profession; and a review of abstracting and indexing services

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Abstract

Attempts to explain the intellectual and cognitive processes which govern the understanding and structure of a text, on the one hand, and writing a summary or abstract on the other, based on the literature of information science, education, cognitive psychology and psychiatry

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Abstract

Structured abstracts have now become widespread in medical research journals. Considers whether or not such structured abstracts can be used effectively in social science journals. Reviews a a selection of studies to see if structured abstracts written for social science journals are more informative, easier to read and easier to search than their traditional equivalents. Results suggest that structured abstracts are appropriate for social science journals. Editors of social science journals should consider adopting structured abstracts

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Abstract

Summarizing is the process of reducing the large information size of something like a novel or a scientific paper to a short summary or abstract comprising only the most essential points. Summarizing is frequent in everyday communication, but it is also a professional skill for journalists and others. Automated summarizing functions are urgently needed by Internet users who wish to avoid being overwhelmed by information. This book presents the state of the art and surveys related research; it deals with everyday and professional summarizing as well as computerized approaches. The author focuses in detail on the cognitive pro-cess involved in summarizing and supports this with a multimedia simulation systems on the accompanying CD-ROM

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Abstract

We address the challenge of extracting query biased audio summaries from podcasts to support users in making relevance decisions in spoken document search via an audio-only communication channel. We performed a crowdsourced experiment that demonstrates that transcripts of spoken documents created using Automated Speech Recognition (ASR), even with significant errors, are effective sources of document summaries or "snippets" for supporting users in making relevance judgments against a query. In particular, the results show that summaries generated from ASR transcripts are comparable, in utility and user-judged preference, to spoken summaries generated from error-free manual transcripts of the same collection. We also observed that content-based audio summaries are at least as preferred as synthesized summaries obtained from manually curated metadata, such as title and description. We describe a methodology for constructing a new test collection, which we have made publicly available.

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Abstract

We investigated an approach to automatic discourse parsing of sociology dissertation abstracts as a sentence categorization task. Decision tree induction was used for the automatic categorization. Three models were developed. Model 1 made use of word tokens found in the sentences. Model 2 made use of both word tokens and sentence position in the abstract. In addition to the attributes used in Model 2, Model 3 also considered information regarding the presence of indicator words in surrounding sentences. Model 3 obtained the highest accuracy rate of 74.5 % when applied to a test sample, compared to 71.6% for Model 2 and 60.8% for Model 1. The results indicated that information about sentence position can substantially increase the accuracy of categorization, and indicator words in earlier sentences (before the sentence being processed) also contribute to the categorization accuracy.

Content

1. Introduction This paper reports our initial effort to develop an automatic method for parsing the discourse structure of sociology dissertation abstracts. This study is part of a broader study to develop a method for multi-document summarization. Accurate discourse parsing will make it easier to perform automatic multi-document summarization of dissertation abstracts. In a previous study, we determined that the macro-level structure of dissertation abstracts typically has five sections (Khoo et al., 2002). In this study, we treated discourse parsing as a text categorization problem - assigning each sentence in a dissertation abstract to one of the five predefined sections or categories. Decision tree induction, a machine-learning method, was applied to word tokens found in the abstracts to construct a decision tree model for the categorization purpose. Decision tree induction was selected primarily because decision tree models are easy to interpret and can be converted to rules that can be incorporated in other computer programs. A well-known decision-tree induction program, C5.0 (Quinlan, 1993), was used in this study.

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Abstract

Despite their changing role, abstracts remain useful in the digital world. Aimed at both information professionals and researchers who work and publish in different fields, this book summarizes the most important and up-to-date theory of abstracting, as well as giving advice and examples for the practice of writing different kinds of abstracts. The book discusses the length, the functions and basic structure of abstracts. A new approach is outlined on the questions of informative and indicative abstracts. The abstractors' personality, their linguistic and non-linguistic knowledge and skills are also discussed with special attention. The process of abstracting, its steps and models, as well as recipient's role are treated with special distinction. Abstracting is presented as an aimed (purported) understanding of the original text, its interpretation and then a special projection of the information deemed to be worth of abstracting into a new text.Despite the relatively large number of textbooks on the topic there is no up-to-date book on abstracting in the English language. In addition to providing a comprehensive coverage of the topic, the proposed book contains novel views - especially on informative and indicative abstracts. The discussion is based on an interdisciplinary approach, blending the methods of library and information science and linguistics. The book strives to a synthesis of theory and practice. The synthesis is based on a large and existing body of knowledge which, however, is often characterised by misleading terminology and flawed beliefs.

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Abstract

Clear guidelines have been provided for structuring the abstracts of original research and review articles and, in the past 10 years, several major medical periodicals have adopted the policy of including such abstracts with all their articles. A review of the literature reveals that proponents claim that structured abstracts enhance peer review, improve information retrieval, and ease critical appraisal. However, some periodicals have not adopted structured abstracts and their opponents claim that they make articles longer and harder to read and restrict author originality. Concludes that previous research on structured abstracts focused on how closely they followed prescribed structure and include salient points of the full text, rather than their role in increasing the usefulness of the article

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Abstract

As a result of the transition to full-text storage, multimedia and networking, information systems are becoming more efficient but at the same time more difficult to use, in particular because users are confronted with information volumes that increasingly exceed individual processing capacities. Consequently, there is an increase in the demand for user aids such as summarising techniques. Against this background, the interdisciplinary Dagstuhl Seminar 'Summarising Text for Intelligent Communication' (Dec. 1993) outlined the academic state of the art with regard to summarising (abstracting) and proposed future directions for research and system development. Research is currently shifting its attention from text summarising to summarising states of affairs. Recycling solutions are put forward in order to satisfy short-term needs for summarisation products. In the medium and long term, it is necessary to devise concepts and methods of intelligent summarising which have a better formal and empirical grounding and a more modular organisation

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Abstract

Purpose - The purpose of the paper is to analyse the structure of a small number of abstracts that have appeared in the CABI database over a number of years, during which time the authorship of the abstracts changed from CABI editorial staff to journal article authors themselves. This paper reports a study of the semantic organisation and thematic structure of 12 abstracts from the field of protozoology in an effort to discover whether these abstracts followed generally agreed abstracting guidelines. Design/methodology/approach - The method adopted was a move analysis of the text of the abstracts. This move analysis revealed a five-move pattern: move 1 situates the research within the scientific community; move 2 introduces the research by either describing the main features of the research or presenting its purpose; move 3 describes the methodology; move 4 states the results; and move 5 draws conclusions or suggests practical applications. Findings - Thematic analysis shows that scientific abstract authors thematise their subject by referring to the discourse domain or the "real" world. Not all of the abstracts succeeded in following the guideline advice. However, there was general consistency regarding semantic organisation and thematic structure. Research limitations/implications - The research limitations were the small number of abstracts examined, from just one subject domain. Practical limitations - The practical implications are the need for abstracting services to be clearer and more prescriptive regarding how they want abstracts to be structured as the lack of formal training in abstract writing increases the risk of subjectivity and verbosity and reduces clarity in scientific abstracts. Another implication of the research are that abstracting and indexing services must ensure that they maintain abstract quality if they introduce policies of accepting author abstracts. This is important as there is probably little formal training in abstract writing for science students at present. Recommendations for further research are made. Originality/value - This paper reports a study of the semantic organisation and thematic structure of 12 abstracts from the field of protozoology.

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Abstract

This paper is a review of genre analysis of author abstracts carried out in the area of English for Special Purposes (ESP) since 1990. Given the descriptive character of such analysis, it can be valuable for Information Science (IS), as it provides a picture of the variation in author abstracts, depending an the discipline, culture and language of the author, and the envisaged context. The authors claim that such knowledge can be useful for information professionals who need to revise author abstracts, or use them for other activities in the organization of knowledge, such as subject analysis and control of vocabulary. With this purpose in mind, we summarize various findings of ESP research. We describe how abstracts vary in structure, content and discourse, and how linguists explain such variations. Other factors taken into account are the stylistic and discoursal features of the abstract, lexical choices, and the possible sources of blas. In conclusion, we show how such findings can have practical and theoretical implications for IS.

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Abstract

The international standard ISO 214:1976 defines an abstract as "an abbreviated, accurate representation of the contents of a document" (p. 1) that should "enable readers to identify the basic content of a document quickly and accurately to determine relevance" (p. 1). It also should be useful in computerized searching. The ISO standard suggests including the following elements: purpose, methods, results, and conclusions. Researchers have often challenged this structure and found that different disciplines and cultures prefer different information content. These claims are partially supported by the findings of our research into the structure of pharmacology, sociology, and Slovenian language and literature abstracts of papers published in international and Slovenian scientific periodicals. The three disciplines have different information content. Slovenian pharmacology abstracts differ in content from those in international periodicals while the differences between international and Slovenian abstracts are small in sociology. In the field of Slovenian language and literature, only domestic abstracts were studied. The identified differences can in part be attributed to the disciplines, but also to the different role of journals and papers in the professional society and to differences in perception of the role of abstracts. The findings raise questions about the structure of abstracts required by some publishers of international journals.

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Abstract

Based on the salient features of the documents, automatic text summarization systems extract the key sentences from source documents. This process supports the users in evaluating the relevance of the extracted documents returned by information retrieval systems. Because of this tool, efficient filtering can be achieved. Indirectly, these systems help to resolve the problem of information overloading. Many automatic text summarization systems have been implemented for use with different languages. It has been established that the grammatical and lexical differences between languages have a significant effect on text processing. However, the impact of the language differences on the automatic text summarization systems has not yet been investigated. The authors provide an impact analysis of language difference on automatic text summarization. It includes the effect on the extraction processes, the scoring mechanisms, the performance, and the matching of the extracted sentences, using the parallel corpus in English and Chinese as the tested object. The analysis results provide a greater understanding of language differences and promote the future development of more advanced text summarization techniques.

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a

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Abstract

The technological revolution is affecting the structure, form and content of documents, reducing the effectiveness of traditional abstracts that, to some extent, are inadequate to the new documentary conditions. Aims to show the directions in which abstracting/abstracts can evolve to achieve the necessary adequacy in the new digital environments. Three researching trends are proposed: theoretical, methodological and pragmatic. Theoretically, there are some needs for expanding the document concept, reengineering abstracting and designing interdisciplinary models. Methodologically, the trend is toward the structuring, automating and qualifying of the abstracts. Pragmatically, abstracts networking, combined with alternative and complementary models, open a new and promising horizon. Automating, structuring and qualifying abstracting/abstract offer some short-term prospects for progress. Concludes that reengineering, networking and visualising would be middle-term fruitful areas of research toward the full adequacy of abstracting in the new electronic age.

Type

a