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MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004)
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- 20. 1.2007 18:30:22
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Robertson, S.E.: ¬The methodology of information retrieval experiment (1981)
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- Information retrieval experiment. Ed.: K. Sparck Jones
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Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 1 (2000)
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- Information processing and management. 36(2000) no.6, S.779-808
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Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 2 (2000)
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- Information processing and management. 36(2000) no.6, S.809-840
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Robertson, S.E.: Some recent theories and models in information retrieval (1980)
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- Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u. L. Kajberg
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Bovey, J.D.; Robertson, S.E.: ¬An algorithm for weighted searching on a Boolean system (1984)
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- Information technology: research and development. 3(1984) no.1, S.84-87
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Robertson, S.E.; Hancock-Beaulieu, M.M.: On the evaluation of IR systems (1992)
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- Information processing and management. 28(1992) no.4, S.457-466
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Robertson, S.E.: ¬The probabilistic character of relevance (1977)
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- Information processing and management. 13(1977), S.247-251
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Robertson, S.E.; Beaulieu, M.: Research and evaluation in information retrieval (1997)
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- Abstract
- Offered as a discussion document drawing on the experiences of the Okapi team in developing information retrieval systems. Raises some of the issues currently exercising the information retrieval community in the context of experimentation and evaluation
- Footnote
- Contribution to a thematic issue on Okapi and information retrieval research
- Type
- a
-
Robertson, S.E.; Sparck Jones, K.: Relevance weighting of search terms (1976)
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- Abstract
- Examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections
- Source
- Journal of the American Society for Information Science. 27(1976), S.129-146
- Type
- a
-
MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing in information retrieval : an updated review (1997)
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- Abstract
- Reviews the progress of parallel computing in information retrieval. Stresses the importance of the motivation is using parallel computing for text retrieval. Analyzes parallel IR systems using a classification defined by Rasmussen and describes some parallel IR systems. Gives a description of the retrieval models used in parallel information processing and notes areas where research is needed
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Robertson, S.E.; Walker, S.; Beaulieu, M.: Experimentation as a way of life : Okapi at TREC (2000)
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- Source
- Information processing and management. 36(2000) no.1, S.95-108
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Robertson, S.E.: Overview of the Okapi projects (1997)
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- Abstract
- Gives a brief description of the Okapi projects and of the work of the centre for Interactive Systems Research in the Department of Information Science at City University, London,UK, where these projects have been developed. Describes firstly one version of an information retrieval system which contains some of the central features of the Okapi projects, and follows this with an indication of the variety of systems now implemented or implementable within the present setup
- Footnote
- Contribution to a thematic issue on Okapi and information retrieval research
- Type
- a
-
Robertson, S.E.: Query-document symmetry and dual models (1994)
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- Abstract
- The idea that there is some natural symmetry between queries and documents is explained. If symmetry can be assumed, then it lead to a conception of 'dual' models in information retrieval (given a model, we can construct a dual model in which the roles of documents and queries are reversed). But symmetry breaks down in various ways, which may invalidate this construction. If we can construct a dual, it is not obvious that it can be combined with the original
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-
Robertson, S.E.: ¬The probability ranking principle in IR (1977)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.
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Robertson, S.E.; Walker, S.; Beaulieu, M.: Laboratory experiments with Okapi : participation in the TREC programme (1997)
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- Abstract
- Briefly reviews the history of laboratory testing of information retrieval systems, focusing on the idea of a general purpose test collection of documents, queries and relevance judgements. Gives an overview of the methods used in TREC (Text Retrieval Conference) which is concerned with an ideal test collection, and discusses the Okapi team's participation in TREC. Also discusses some of the issues surrounding the difficult problem of interactive evaluation in TREC. The reconciliation of the requirements of the laboratory context with the concerns of interactive retrieval has a long way to go
- Footnote
- Contribution to a thematic issue on Okapi and information retrieval research
- Type
- a
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Vechtomova, O.; Karamuftuoglum, M.; Robertson, S.E.: On document relevance and lexical cohesion between query terms (2006)
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- Abstract
- Lexical cohesion is a property of text, achieved through lexical-semantic relations between words in text. Most information retrieval systems make use of lexical relations in text only to a limited extent. In this paper we empirically investigate whether the degree of lexical cohesion between the contexts of query terms' occurrences in a document is related to its relevance to the query. Lexical cohesion between distinct query terms in a document is estimated on the basis of the lexical-semantic relations (repetition, synonymy, hyponymy and sibling) that exist between there collocates - words that co-occur with them in the same windows of text. Experiments suggest significant differences between the lexical cohesion in relevant and non-relevant document sets exist. A document ranking method based on lexical cohesion shows some performance improvements.
- Source
- Information processing and management. 42(2006) no.5, S.1230-1247
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- a
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Robertson, S.E.: Theories and models in information retrieval (1977)
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- Abstract
- This paper is concerned with recent work in the theory of information retrieval. More particularly, it is concerned with theories which tackle the problem of retrieval performance, in a sense which will be explained. The aim is not an exhaustive survey of such work; rather it is an analysis and synthesis of those contributions which I feel to be important or find interesting
- Type
- a
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Huang, X.; Robertson, S.E.: Application of probilistic methods to Chinese text retrieval (1997)
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- Abstract
- Discusses the use of text retrieval methods based on the probabilistic model with Chinese language material. Since Chinese text has no natural word boundaries, either a dictionary based word segmentation method must be applied to the text, or indexing and searching must be done in terms of single Chinese characters. In either case, it becomes important to have a good way of dealing with phrases or contoguous strings of characters; the probabilistic model does not at present have such a facility. Proposes some ad hoc modifications of the probabilistic weighting function and matching method for this purpose
- Footnote
- Contribution to a thematic issue on Okapi and information retrieval research
- Type
- a
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Vechtomova, O.; Robertson, S.E.: ¬A domain-independent approach to finding related entities (2012)
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- Abstract
- We propose an approach to the retrieval of entities that have a specific relationship with the entity given in a query. Our research goal is to investigate whether related entity finding problem can be addressed by combining a measure of relatedness of candidate answer entities to the query, and likelihood that the candidate answer entity belongs to the target entity category specified in the query. An initial list of candidate entities, extracted from top ranked documents retrieved for the query, is refined using a number of statistical and linguistic methods. The proposed method extracts the category of the target entity from the query, identifies instances of this category as seed entities, and computes similarity between candidate and seed entities. The evaluation was conducted on the Related Entity Finding task of the Entity Track of TREC 2010, as well as the QA list questions from TREC 2005 and 2006. Evaluation results demonstrate that the proposed methods are effective in finding related entities.
- Source
- Information processing and management. 48(2012) no.4, S.654-670
- Type
- a
