Documentary abstracting: toward a methodological model

In the general abstracting process (GAP), there are two types of data: textual, within a particularly framed trilogy (surface, deep, and rhetoric); and documentary (abstractor, means of production, and user demands). For its development, the use of the following disciplines, among others, is proposed: linguistics (structural, transformational, and textual), logic (formal and fuzzy), and psychology (cognitive). The model for that textual transformation is based on a system of combined strategies with four key stages: reading‐understanding, selection, interpretation, and synthesis. © 1995 John Wiley & Sons, Inc.

[1]  Roman Jakobson,et al.  Language in Relation to Other Communication Systems , 1971 .

[2]  Vilém Novák.  Fuzzy Sets in Natural Language Processing , 1992 .

[3]  Chris D. Paice,et al.  Constructing literature abstracts by computer: Techniques and prospects , 1990, Inf. Process. Manag..

[4]  R. Langacker,et al.  Meaning and the Structure of Language , 1972 .

[5]  Walter Kintsch,et al.  Toward a model of text comprehension and production. , 1978 .

[6]  Elizabeth Du,et al.  Anaphora in natural language processing and information retrieval , 1990, Inf. Process. Manag..

[7]  Jennifer Rowley,et al.  Abstracting and indexing , 1982 .

[8]  Jean‐Claude Gardin,et al.  DOCUMENT ANALYSIS AND LINGUISTIC THEORY , 1973 .

[9]  Joost Kircz,et al.  Rhetorical Structure of Scientific Articles: the Case for Argumentational Analysis in Information Retrieval , 1991, J. Documentation.

[10]  Clare Beghtol,et al.  Bibliographic Classification Theory and Text Linguistics: Aboutness Analysis, intertextuality and the Cognitive Act of Classifying Documents , 1986, J. Documentation.

[11]  Harold Borko,et al.  Abstracting Concepts and Methods , 1975 .

[12]  Lotfi A. Zadeh,et al.  Knowledge Representation in Fuzzy Logic , 1996, IEEE Trans. Knowl. Data Eng..

[13]  Peter N. Winograd.  Strategic difficulties in summarizing texts , 1984 .

[14]  Edward T. Cremmins.  The Art of Abstracting. , 1982 .

[15]  Bernard Pottier,et al.  Linguistique générale, théorie et description , 1974 .

[16]  Michael Halliday,et al.  Cohesion in English , 1976 .

[17]  T. E. R. Singer,et al.  Abstracting scientific and technical literature;: An introductory guide and text for scientists, abstractors, and management , 1971 .

[18]  Noam Chomsky.  Knowledge of language: its nature, origin, and use , 1988 .

[19]  Ann L. Brown,et al.  Macrorules for summarizing texts: the development of expertise , 1983 .

[20]  P. Garvin,et al.  Prolegomena to a Theory of Language , 1953 .

[21]  Teun A. van Dijk,et al.  Text and Context: Explorations in the Semantics and Pragmatics of Discourse , 1977 .

[22]  Walter Kintsch,et al.  Cognitive Psychology and Discourse: Recalling and Summarizing Stories , 1978 .

[23]  L. Zadeh,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[24]  Eugenio Coseriu,et al.  Principios de semántica estructural , 1977 .

[25]  D. Swinney,et al.  Inference Generation During Auditory Language Comprehension , 1990 .

[26]  Brian R. Gaines,et al.  Foundations of fuzzy reasoning , 1976 .

[27]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[28]  F. D. Saussure.  Cours de linguistique générale , 1924 .

[29]  Elizabeth Du,et al.  The discourse-level structure of empirical abstracts: an exploratory study , 1991, Inf. Process. Manag..

[30]  Lisa F. Rau,et al.  Information extraction and text summarization using linguistic knowledge acquisition , 1989, Inf. Process. Manag..

[31]  M. Milas-Bracovic.  The structure of scientific papers and their author abstracts , 1987 .