-
Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999)
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- Date
- 15. 3.2000 10:22:37
- Source
- Journal of information science. 25(1999) no.2, S.113-131
-
Gachot, D.A.; Lange, E.; Yang, J.: ¬The SYSTRAN NLP browser : an application of machine translation technology in cross-language information retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Liddy, E.D.: Natural language processing for information retrieval and knowledge discovery (1998)
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- Abstract
- Natural language processing (NLP) is a powerful technology for the vital tasks of information retrieval (IR) and knowledge discovery (KD) which, in turn, feed the visualization systems of the present and future and enable knowledge workers to focus more of their time on the vital tasks of analysis and prediction
- Date
- 22. 9.1997 19:16:05
- Imprint
- Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
- Source
- Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
-
Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996)
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- Abstract
- State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
- Source
- Annual review of information science and technology. 31(1996), S.83-119
-
Sembok, T.M.T.; Rijsbergen, C.J. van: SILOL: a simple logical-linguistic document retrieval system (1990)
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- Abstract
- Describes a system called SILOL which is based on a logical-linguistic model of document retrieval systems. SILOL uses a shallow semantic translation of natural language texts into a first order predicate representation in performing a document indexing and retrieval process. Some preliminary experiments have been carried out to test the retrieval effectiveness of this system. The results obtained show improvements in the level of retrieval effectiveness, which demonstrate that the approach of using a semantic theory of natural language and logic in document retrieval systems is a valid one
- Source
- Information processing and management. 26(1990) no.1, S.111-134
-
Frappaolo, C.: Artificial intelligence and text retrieval : a current perspective on the state of the art (1992)
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- Abstract
- Brief discussion of the ways in which computerized information retrieval and database searching can be enhanced by integrating artificial intelligence with such search systems. Explores the possibility of integrating the powers and capabilities of artificial intelligence (specifically natural language processing) with text retrieval
- Imprint
- Medford, NJ : Learned Information Inc.
-
Yannakoudakis, E.J.; Daraki, J.J.: Lexical clustering and retrieval of bibliographic records (1994)
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- Abstract
- Presents a new system that enables users to retrieve catalogue entries on the basis of theri lexical similarities and to cluster records in a dynamic fashion. Describes the information retrieval system developed by the Department of Informatics, Athens University of Economics and Business, Greece. The system also offers the means for cyclic retrieval of records from each cluster while allowing the user to define the field to be used in each case. The approach is based on logical keys which are derived from pertinent bibliographic fields and are used for all clustering and information retrieval functions
- Source
- Information retrieval: new systems and current research. Proceedings of the 15th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Glasgow 1993. Ed.: Ruben Leon
-
Solvberg, I.; Nordbo, I.; Aamodt, A.: Knowledge-based information retrieval (1991/92)
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-
Smeaton, A.F.: Progress in the application of natural language processing to information retrieval tasks (1992)
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- Abstract
- Account of recent developments in automatic and semi-automatic text indexing as well as in the generation of thesauri, text retrieval, abstracting and summarization
-
Smeaton, A.F.: Natural language processing used in information retrieval tasks : an overview of achievements to date (1995)
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- Source
- Encyclopedia of library and information science. Vol.55, [=Suppl.18]
-
Rindflesch, T.C.; Aronson, A.R.: Semantic processing in information retrieval (1993)
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- Abstract
- Intuition suggests that one way to enhance the information retrieval process would be the use of phrases to characterize the contents of text. A number of researchers, however, have noted that phrases alone do not improve retrieval effectiveness. In this paper we briefly review the use of phrases in information retrieval and then suggest extensions to this paradigm using semantic information. We claim that semantic processing, which can be viewed as expressing relations between the concepts represented by phrases, will in fact enhance retrieval effectiveness. The availability of the UMLS® domain model, which we exploit extensively, significantly contributes to the feasibility of this processing.
-
Chowdhury, G.G.: Natural language processing and information retrieval : pt.1: basic issues; pt.2: major applications (1991)
0.01
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- Abstract
- Reviews the basic issues and procedures involved in natural language processing of textual material for final use in information retrieval. Covers: natural language processing; natural language understanding; syntactic and semantic analysis; parsing; knowledge bases and knowledge representation
-
Strzalkowski, T.: Robust text processing in automated information retrieval (1994)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.317-322.
-
Liddy, E.D.: Enhanced text retrieval using natural language processing (1998)
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- Source
- Bulletin of the American Society for Information Science. 24(1998), April/May, S.14-16
-
Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994)
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- Imprint
- Medford, NJ : Learned information
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Lewis, D.D.; Sparck Jones, K.: Natural language processing for information retrieval (1996)
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-
Bordogna, G.; Pasi, G.: ¬A fuzzy linguistic approach generalizing Boolean information retrieval : a model and its evaluation (1993)
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- Abstract
- Describes an approach to research in the field of the generalisation of Boolean information retrieval using a model derived from an existing weighted Boolean retrieval model, with a linguistic extension, formalised within fuzzy set theory in which numeric query weights were replaced by linguistic descriptors specifying the degree of importance of the terms
- Source
- Journal of the American Society for Information Science. 44(1993) no.2, S.70-82
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Ahmad, F.; Yusoff, M.; Sembok, T.M.T.: Experiments with a stemming algorithm for Malay words (1996)
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- Abstract
- Stemming is used in information retrieval systems to reduce variant word forms to common roots in order to improve retrieval effectiveness. As in other languages, there is a need for an effective stemming algorithm for the indexing and retrieval of Malay documents. The Malay stemming algorithm developed by Othman is studied and new versions proposed to enhance its performance. The improvements relate to the order in which the dictionary id looked-up, the order in which the morphological rules are applied, and the number of rules
- Source
- Journal of the American Society for Information Science. 47(1996) no.12, S.909-918
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Zhang, H.J.; Low, C.Y.; Smoliar, S.W.; Lu. J.H.: Video parsing, retrieval and browsing : an integrated and content-based solution (1995)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.503-512
-
Hsinchun, C.: Knowledge-based document retrieval framework and design (1992)
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- Abstract
- Presents research on the design of knowledge-based document retrieval systems in which a semantic network was adopted to represent subject knowledge and classification scheme knowledge and experts' search strategies and user modelling capability were modelled as procedural knowledge. These functionalities were incorporated into a prototype knowledge-based retrieval system, Metacat. Describes a system, the design of which was based on the blackboard architecture, which was able to create a user profile, identify task requirements, suggest heuristics-based search strategies, perform semantic-based search assistance, and assist online query refinement
- Source
- Journal of information science. 18(1992) no.4, S.293-314
