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Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.02

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Date: 8.10.2000 11:52:22
Source: Library science with a slant to documentation. 28(1991) no.4, S.125-130
Type: a

Ruge, G.; Schwarz, C.: Linguistically based term associations : a new semantic component for a hyperterm system (1990) 0.01

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Abstract: REALIST (Retrieval Aids by Linguistics and Statistics) is a tool which supplies the user of free text information retrieval systems with information about the terms in the databases. The resulting tables of terms show term relations according to their meaning in the database and form a kind of 'road map' of the database to give the user orientation help
Type: a

Ruge, G.: Experiments on linguistically-based term associations (1992) 0.01

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Abstract: Describes the hyperterm system REALIST (REtrieval Aids by LInguistic and STatistics) and describes its semantic component. The semantic component of REALIST generates semantic term relations such synonyms. It takes as input a free text data base and generates as output term pairs that are semantically related with respect to their meanings in the data base. In the 1st step an automatic syntactic analysis provides linguistical knowledge about the terms of the data base. In the 2nd step this knowledge is compared by statistical similarity computation. Various experiments with different similarity measures are described
Source: Information processing and management. 28(1992) no.3, S.317-332
Type: a

Ruge, G.; Goeser, S.: Information Retrieval ohne Linguistik (1998) 0.01
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Abstract

Natürlicherweise sollte man erwarten, daß linguistische Textanalyseverfahren die Effektivität und Benutzerfreundlichkeit von Information Retrieval Systemen verbessern, da sowohl Dokumente als auch Suchanfragen die interessierenden Inhalte linguistisch enkodieren. Ein Retrievalabgleich auf der Ebene der linguistischen Inhaltsdarstellung müßte demzufolge zu besseren Retrievalsystemen führen als ein Abgleich auf Wort- oder gar Zeichenebene. Tatsächlich aber ist immer noch weitgehend unklar, inwieweit linguistische Textanalyseverfahren Retrievalsysteme verbessern können. Evaluationen von Retrievalsystemen mit linguistischen Komponenten führen nach wie vor zu unterschiedlichen, teils gegenläufigen Ergebnissen, obwohl die dazu erforderliche Computerlinguistik große Fortschritte gemacht hat. Wir gehen der Frage nach, wie es zu diesen kontraintuitiven Ergenissen kommt. Dazu wird der Stand der Kunst im linguistischen IR zusammengefaßt, so daß die Ergebnisse anhand des Vergleich verschiedener Evaluierungen diskutiert werden können.

Footnote

Vgl. auch die Erwiderung: Ladewig, C.: 'Information Retrieval ohne Linguistik?' in: nfd 49(1998) H.8, S.476-478

Source

nfd Information - Wissenschaft und Praxis. 49(1998) H.6, S.361-369

Type

a

Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.01

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Footnote: Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)

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
Type: a

Ruge, G.; Schwarz, C.: Term association and computational linguistics (1991) 0.00

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Abstract: Most systems for term associations are statistically based. In general they exploit term co-occurrences. A critical overview about statistical approaches in this field is given. A new approach on the basis of a linguistic analysis for large amounts of textual data is outlined
Type: a

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