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  • × author_ss:"Smeaton, A.F."
  1. O'Donnell, R.; Smeaton, A.F.: ¬A linguistic approach to information retrieval (1996) 0.05
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    Abstract
    An important aspect of information retrieval systems is domain independence, where the subject of the information is not restricted to certain domains of knowledge. This should be able to represent any topic and although the text representation does not involve any semantic knowledge, lexical and syntactic analysis of the text allows the representation to remain domain independent. Reports research at Dublin City University, Ireland, which concentrates on the lexical and syntactic levels of natural language analysis and describes a domain independent automatic information retrieval system which accesses a very large database of newspaper text from the Wall Street Journal. The system represents the text in the form of syntax trees, and these trees are used in the matching process. Reports early results from the stuyd
    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  2. Sheridan, P.; Smeaton, A.F.: ¬The application of morpho-syntactic language processing to effective phrase matching (1992) 0.03
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  3. Smeaton, A.F.: Natural language processing used in information retrieval tasks : an overview of achievements to date (1995) 0.03
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  4. Smeaton, A.F.: Progress in the application of natural language processing to information retrieval tasks (1992) 0.03
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  5. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02
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    Date
    30. 3.2001 13:32:22
  6. Smeaton, A.F.: Prospects for intelligent, language-based information retrieval (1991) 0.02
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    Abstract
    Current approaches to text retrieval based on indexing by words or index terms and on retrieving by specifying a Boolean combination of keywords are well known, as are their limitations. Statistical approaches to retrieval, as exemplified in commercial products like STATUS/IQ and Personal Librarian, are slightly better but still have their own weaknesses. Approaches to the indexing and retrieval of text based on techniques of automatic natural language processing (NLP) may soon start to realise their potential in terms of improving the quality and effectiveness of information retrieval. Examines some of the current attempts at using various NLP techniques in both the indexing and retrieval operations
  7. Richardson, R.; Smeaton, A.F.; Murphy, J.: Using WordNet for conceptual distance measurement (1996) 0.01
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  8. Kelledy, F.; Smeaton, A.F.: Signature files and beyond (1996) 0.01
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon