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  • × author_ss:"Smeaton, A.F."
  1. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.06
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    Date
    30. 3.2001 13:32:22
  2. Richardson, R.; Smeaton, A.F.: Automatic word sense disambiguation in a KBIR application (1995) 0.05
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    Abstract
    Discusses the implementation and design of an automatic word sense disambiguator. The semantic tagger is used in an overall Knowledge Based Information Retrieval (KBIR) system which uses a WordNet derived knowledge base (KB) and 2 independent semantic similarity estimators. The KB is used as a controlled vocabulary to represent documents and queries and the semantic similarity estimators are employed to determine the degree of relatedness between the KB representations
    Source
    New review of document and text management. 1995, no.1, S.299-319
  3. Sheridan, P.; Smeaton, A.F.: ¬The application of morpho-syntactic language processing to effective phrase matching (1992) 0.03
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    Source
    Information processing and management. 28(1992) no.3, S.349-369
  4. Smeaton, A.F.: TREC-6: personal highlights (2000) 0.03
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    Source
    Information processing and management. 36(2000) no.1, S.87-94
  5. O'Donnell, R.; Smeaton, A.F.: ¬A linguistic approach to information retrieval (1996) 0.03
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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
  6. Richardson, R.; Smeaton, A.F.; Murphy, J.: Using WordNet for conceptual distance measurement (1996) 0.03
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    Abstract
    Reports results of research to develop an information retrieval technique employing a conceptual distance measure between words and based on a large thesaurus. The techniques is specifically designed for data sharing in large scale autonomous distributed federated databases (FDBS). The prototype federated dictionary system, FEDDICT, stores information on the location of data sets within the FDBS and on semantic relationships exisitng between these data sets. WordNet is used and tested as the medium for bulding and operating FEDDICT
    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
  7. Kelledy, F.; Smeaton, A.F.: Thresholding the postings lists in information retrieval : experiments on TREC data (1995) 0.02
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    Source
    New review of document and text management. 1995, no.1, S.111-129
  8. Smeaton, A.F.: Retrieving information from hypertext : issues and problems (1991) 0.01
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    Abstract
    Hypertext uses a browsing rather than a searching strategy. Hypertext systems have found applications in a number of areas. They give users choice of information but this can prove a drawback. Examnines the effectiveness of hypertext as a way of retrieving information and reviews conventional information retrieval techniques. Considers previous attempts at combining information retrieval and hypertext and outlines a prototype systems developed to generate guided tours for users to direct them through hypertext to information they have requested. Discusses how adding this kind of itelligent guidance to a hypertext system would affect its usability as an information system
  9. Keenan, S.; Smeaton, A.F.; Keogh, G.: ¬The effect of pool depth on system evaluation in TREC (2001) 0.01
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    Abstract
    The TREC benchmarking exercise for information retrieval (IR) experiments has provided a forum and an opportunity for IR researchers to evaluate the performance of their approaches to the IR task and has resulted in improvements in IR effectiveness. Typically, retrieval performance has been measured in terms of precision and recall, and comparisons between different IR approaches have been based on these measures. These measures are in turn dependent on the so-called "pool depth" used to discover relevant documents. Whereas there is evidence to suggest that the pool depth size used for TREC evaluations adequately identifies the relevant documents in the entire test data collection, we consider how it affects the evaluations of individual systems. The data used comes from the Sixth TREC conference, TREC-6. By fitting appropriate regression models we explore whether different pool depths confer advantages or disadvantages on different retrieval systems when they are compared. As a consequence of this model fitting, a pair of measures for each retrieval run, which are related to precision and recall, emerge. For each system, these give an extrapolation for the number of relevant documents the system would have been deemed to have retrieved if an indefinitely large pool size had been used, and also a measure of the sensitivity of each system to pool size. We concur that even on the basis of analyses of individual systems, the pool depth of 100 used by TREC is adequate
  10. 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