Search (58 results, page 3 of 3)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[1990 TO 2000}
  1. Harman, D.: Overview of the first Text Retrieval Conference (1993) 0.00
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  2. Lepsky, K.; Siepmann, J.; Zimmermann, A.: Automatische Indexierung für Online-Kataloge : Ergebnisse eines Retrievaltests (1996) 0.00
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    Language
    d
  3. Nicholas, D.: Are information professionals really better online searchers than end-users? : (and whose story do you believe?) (1995) 0.00
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  4. Spink, A.; Goodrum, A.; Robins, D.: Search intermediary elicitations during mediated online searching (1995) 0.00
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  5. Wolfram, D.; Volz, A.; Dimitroff, A.: ¬The effect of linkage structure on retrieval performance in a hypertext-based bibliographic retrieval system (1996) 0.00
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  6. Harman, D.: ¬The Text REtrieval Conferences (TRECs) : providing a test-bed for information retrieval systems (1998) 0.00
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  7. Voorbij, H.: ¬Een goede titel behoeft geen trefwoord, of toch wel? : een vergelijkend oderzoek titelwoorden - trefwoorden (1997) 0.00
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    Footnote
    Übers. d. Titels: A good title has no need of subject headings, or does it?: a comparative study of title keywords against subject headings
  8. Wolfram, D.; Dimitroff, A.: Preliminary findings on searcher performance and perceptions of performance in a hypertext bibliographic retrieval system (1997) 0.00
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  9. Sachse, E.; Liebig, M.; Gödert, W.: Automatische Indexierung unter Einbeziehung semantischer Relationen : Ergebnisse des Retrievaltests zum MILOS II-Projekt (1998) 0.00
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    Language
    d
  10. Gödert, W.; Liebig, M.: Maschinelle Indexierung auf dem Prüfstand : Ergebnisse eines Retrievaltests zum MILOS II Projekt (1997) 0.00
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    Language
    d
  11. Kaltenborn, K.-F.: Endnutzerrecherchen in der CD-ROM-Datenbank Medline : T.1: Evaluations- und Benutzerforschung über Nutzungscharakteristika, Bewertung der Rechercheergebnisse und künftige Informationsgewinnung; T.2: Evaluations- und Benutzerforschung über Recherchequalität und Nutzer-Computer/Datenbank-Interaktion (1991) 0.00
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    Language
    d
  12. Hersh, W.; Pentecost, J.; Hickam, D.: ¬A task-oriented approach to information retrieval evaluation : overview and design for empirical testing (1996) 0.00
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  13. Dimitroff, A.; Wolfram, D.; Volz, A.: Affective response and retrieval performance : analysis of contributing factors (1996) 0.00
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  14. Drabenstott, K.M.; Vizine-Goetz, D.: Using subject headings for online retrieval : theory, practice and potential (1994) 0.00
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  15. Leppanen, E.: Homografiongelma tekstihaussa ja homografien disambiguoinnin vaikutukset (1996) 0.00
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    Footnote
    Übers. d. Titels: The homonymy problem in free text searching and the results of homonymy disambiguation
  16. Bodoff, D.; Kambil, A.: Partial coordination : II. A preliminary evaluation and failure analysis (1998) 0.00
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  17. Ellis, D.: ¬The dilemma of measurement in information retrieval research (1996) 0.00
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  18. Cross-language information retrieval (1998) 0.00
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    Content
    Enthält die Beiträge: GREFENSTETTE, G.: The Problem of Cross-Language Information Retrieval; DAVIS, M.W.: On the Effective Use of Large Parallel Corpora in Cross-Language Text Retrieval; BALLESTEROS, L. u. W.B. CROFT: Statistical Methods for Cross-Language Information Retrieval; Distributed Cross-Lingual Information Retrieval; Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing; EVANS, D.A. u.a.: Mapping Vocabularies Using Latent Semantics; PICCHI, E. u. C. PETERS: Cross-Language Information Retrieval: A System for Comparable Corpus Querying; YAMABANA, K. u.a.: A Language Conversion Front-End for Cross-Language Information Retrieval; GACHOT, D.A. u.a.: The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Information Retrieval; HULL, D.: A Weighted Boolean Model for Cross-Language Text Retrieval; SHERIDAN, P. u.a. Building a Large Multilingual Test Collection from Comparable News Documents; OARD; D.W. u. B.J. DORR: Evaluating Cross-Language Text Filtering Effectiveness
    Footnote
    Rez. in: Machine translation review: 1999, no.10, S.26-27 (D. Lewis): "Cross Language Information Retrieval (CLIR) addresses the growing need to access large volumes of data across language boundaries. The typical requirement is for the user to input a free form query, usually a brief description of a topic, into a search or retrieval engine which returns a list, in ranked order, of documents or web pages that are relevant to the topic. The search engine matches the terms in the query to indexed terms, usually keywords previously derived from the target documents. Unlike monolingual information retrieval, CLIR requires query terms in one language to be matched to indexed terms in another. Matching can be done by bilingual dictionary lookup, full machine translation, or by applying statistical methods. A query's success is measured in terms of recall (how many potentially relevant target documents are found) and precision (what proportion of documents found are relevant). Issues in CLIR are how to translate query terms into index terms, how to eliminate alternative translations (e.g. to decide that French 'traitement' in a query means 'treatment' and not 'salary'), and how to rank or weight translation alternatives that are retained (e.g. how to order the French terms 'aventure', 'business', 'affaire', and 'liaison' as relevant translations of English 'affair'). Grefenstette provides a lucid and useful overview of the field and the problems. The volume brings together a number of experiments and projects in CLIR. Mark Davies (New Mexico State University) describes Recuerdo, a Spanish retrieval engine which reduces translation ambiguities by scanning indexes for parallel texts; it also uses either a bilingual dictionary or direct equivalents from a parallel corpus in order to compare results for queries on parallel texts. Lisa Ballesteros and Bruce Croft (University of Massachusetts) use a 'local feedback' technique which automatically enhances a query by adding extra terms to it both before and after translation; such terms can be derived from documents known to be relevant to the query.

Languages

  • e 37
  • d 16
  • f 2
  • nl 2
  • fi 1
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Types

  • a 45
  • r 4
  • s 4
  • m 3
  • x 2
  • el 1
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