Titlebook: Advances in Information Retrieval; 26th European Confer Sharon McDonald,John Tait Conference proceedings 2004 Springer-Verlag Berlin Heidel

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Conference proceedings 1987Latest edition. Many QA systems have been developed and most follow the same broad pattern of operation: first an information retrieval (IR) system, often passage-based, is used to find passages from a large document collection which are likely to contain answers, and then these passages are analysed in detail to

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https://doi.org/10.1007/978-3-642-72573-9sentences. An information retrieval (IR) with reference corpus approach is proposed. A sentence is considered as a query to a reference corpus, and similarity is measured in terms of the weighting vectors of document lists ranked by IR systems. Two sentences are regarded as similar if they are relat

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Was wissen wir über atopische Allergene?tion of documents is performed following subsequent steps. The main idea is to consider a possible double aspect of the importance of a word: the local importance in a category, and the global importance in the rest of the categories. This information is combined properly and summarized in two coord

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M. Brezina,I. Hruškovič,M. Kováčová belongs to the large group of heuristic resource ranking methods which select a fixed number of libraries with respect to their similarity to the query. In contrast, DTF computes an optimum resource selection with respect to overall costs (from different sources, e.g. retrieval quality, time, money

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https://doi.org/10.1007/978-3-662-63874-3bottom-up representations for text clustering. By extracting semantic rules from WordNet, terms with similar concepts are substituted with a more general term, the hypernym. This hypernym semantic relationship supplements the neural model in document clustering. The neural model is based on the exte

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Abgrenzung zu anderen Erkrankungenhich have a narrow context, are identified to form meta-tags for that subject. These contextual words form the basis for creating thematic clusters of documents. In a similar fashion to other research papers on document clustering, we analyze the quality of this approach with respect to document cat

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Abgrenzung zu anderen Erkrankungen linguistic representations. Phrases, word senses and syntactic relations derived by Natural Language Processing (NLP) techniques were observed ineffective to increase retrieval accuracy. For Text Categorization (TC) are available fewer and less definitive studies on the use of advanced document rep

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Elektromyographie des Beckenbodensms, there exist a number of bigrams which are high-degree biased according to character frequencies. Usually, these bigrams are likely to survive for their strength of discriminating documents after the process of feature selection. However, most of them are useless for document categorization becau