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Schwarz, C.: THESYS: Thesaurus Syntax System : a fully automatic thesaurus building aid (1988) 0.04

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Abstract: THESYS is based on the natural language processing of free-text databases. It yields statistically evaluated correlations between words of the database. These correlations correspond to traditional thesaurus relations. The person who has to build a thesaurus is thus assisted by the proposals made by THESYS. THESYS is being tested on commercial databases under real world conditions. It is part of a text processing project at Siemens, called TINA (Text-Inhalts-Analyse). Software from TINA is actually being applied and evaluated by the US Department of Commerce for patent search and indexing (REALIST: REtrieval Aids by Linguistics and STatistics)
Date: 6. 1.1999 10:22:07

Schwarz, C.: Linguistische Hilfsmittel beim Information Retrieval (1984) 0.01

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Schwarz, C.: Natural language and information retrieval : Kommentierte Literaturliste zu Systemen, Verfahren und Tools (1986) 0.01

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Ruge, G.; Schwarz, C.: Natural language access to free-text data bases (1989) 0.01

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Abstract: Problems of indexing and searching free-text data bases are discussed in detail. The possibilities and limitations of Boolean searching are shown. An experimental system COPSY (Context operator syntax) that was built in order to avoid common errors connected with Boolean search is outlined. This system permits, as input, any natural language search question formulation and yields, as output, documents ranked on the basis of an automatically calculated correspondence between natural language search questions and content-based analysis of documents. COPSY is part of a text processing project at Siemens AG called TINA (Text-Inhalts-Analyse...). Software from TINA is actually being applied and evaluated by the US Department of Commerce for patent searching and indexing.
Source: Information, knowledge, evolution. Proceedings of the 44th FID congress, Helsinki, 28.8.-1.9.1988. Ed. by S. Koshiala and R. Launo

Ruge, G.; Schwarz, C.: ¬Die Leistungsfähigkeit von linguistischen Verfahren in der Massentextverarbeitung (1989) 0.00
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Abstract

Dependenzstrukturen stellen syntagmatische Relationen von Worten in Texten dar. Ihre Anwendungsmöglichkeiten im Information Retrieval werden erläutert. Bei Siemens wurde ein System zur Transformation von Texten in Dependenzstrukturen entwickelt, wobei besonders darauf geachtet wurde, die Wirkung gegen den Aufwand abzuwiegen. Die letzte Version verarbeitet 20 MB Freitext in einer Stunde Realzeit auf einem Siemens BS2000 Großrechner. Analyse-Recall and Analyse-Precision liegen jeweils bei 0,85

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