Automatic Indexing and Abstracting of Document Texts by Marie-Francine Moens

By Marie-Francine Moens

Automatic Indexing and Abstracting of rfile Texts summarizes the newest options of computerized indexing and abstracting, and the result of their software. It additionally areas the options within the context of the research of textual content, handbook indexing and abstracting, and using the indexing descriptions and abstracts in structures that opt for files or info from huge collections. vital sections of the e-book think about the advance of latest innovations for indexing and abstracting. The suggestions contain the subsequent: utilizing textual content grammars, studying of the topics of the texts together with the id of consultant sentences or paragraphs by way of sufficient cluster algorithms, and studying of type styles of texts. furthermore, the booklet is an try and remove darkness from new avenues for destiny examine.
Automatic Indexing and Abstracting of rfile Texts is a superb reference for researchers and pros operating within the box of content material administration and knowledge retrieval.

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Additional info for Automatic Indexing and Abstracting of Document Texts

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The problem is caused by incorrect and incomplete representations of an information need and of the content of document texts, and by a probabilistic matching between both. Indexing commonly extracts from or assigns to the text a set of single words or phrases that function as key terms. Words or phrases of the text are commonly called natural language index terms. When the assigned words or phrases come from a fixed vocabulary, they are called controlled language index terms. The index terms, besides reflecting content, can be used as access points or identifiers of the text in the document collection.

19). So, the creators and users of these texts (unconsciously) know the text schemata. Examples A simple example in the class of expository text is the schematic structure of scientific articles in the Western culture. A scientific article usually contains the following ordered text segments: purpose of the research, methodology, results, discussion of the results, and conclusions (Pinto Molina, 1995). On a more detailed level of analysis, the schematic structure of scientific articles possibly exhibits variants that are typical of the natural sciences or of the social sciences and humanities.

Chomsky, 1975; Ellis, 1992, p. 36). , 1995, p. 490). It is composed of constituents (phrase classes) that combine in regular ways. In its turn, a phrase is composed of word classes that also combine in regular ways. So, any sentence can be decomposed or altered by the application of certain rules. The structures allowable in the language are formally specified by a grammar. The grammar allows decomposing a sentence into phrases of a specific class, which in their turn can be decomposed into words of a specific class.

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