Boolean queries and term dependencies in probabilistic retrieval models
A method of integrating Boolean queries with probabilistic retrieval models is proposed. Boolean queries are interpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtaining dependency information,...
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| Published in | Journal of the American Society for Information Science Vol. 37; no. 2; pp. 71 - 77 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Washington, D.C
Wiley Subscription Services, Inc., A Wiley Company
01.03.1986
John Wiley & Sons American Documentation Institute Wiley Periodicals Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0002-8231 1097-4571 |
| DOI | 10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4 |
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| Abstract | A method of integrating Boolean queries with probabilistic retrieval models is proposed. Boolean queries are interpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtaining dependency information, such as user‐specified phrases, can also be used in this approach. The experimental results indicate that significant performance benefits can be obtained, particularly when dependencies are derived from term phrases identified in natural language queries. © 1986 John Wiley & Sons, Inc. |
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| AbstractList | A method of integrating Boolean queries with probabilis tic retrieval models is proposed. Boolean queries are in terpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtain- ing dependency information, such as user-specified phrases, can also be used in this approach. The experi- mental results indicate that significant performance benefits can be obtained, particularly when dependen- cies are derived from term phrases identified in natural language queries. A method of integrating Boolean queries with probabilistic retrieval models is proposed. Boolean queries are interpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtaining dependency information, such as user‐specified phrases, can also be used in this approach. The experimental results indicate that significant performance benefits can be obtained, particularly when dependencies are derived from term phrases identified in natural language queries. © 1986 John Wiley & Sons, Inc. A method is proposed of integrating Boolean queries with probabilistic retrieval models. Boolean queries are interpreted as specifying term dependencies that can be employed to correct the document scores obtained using a basic probabilistic model. In this approach, it is also possible to use alternative methods of obtaining dependency information such as user-specified phrases. To test the effectiveness of the proposed model, retrieval experiments were conducted with 2 collections of documents. Experimental results affirm that, using this new approach, significant performance benefits can be realized, particularly when dependencies are derived from term phrases identified in natural language queries. The experiments showed that incorporating term dependencies derived from queries in a probabilistic retrieval model can improve retrieval performance. The results also indicate that only part of the Boolean query structure is important for retrieval. A method of integrating Boolean queries with probabilistic retrieval models is proposed. Boolean queries are interpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtaining dependency information, such as user-specified phrases, can also be used in this approach. The experimental results indicate that significant performance benefits can be obtained, particularly when dependencies are derived from term phrases identified in natural language queries. |
| Author | Croft, W. Bruce |
| Author_xml | – sequence: 1 givenname: W. Bruce surname: Croft fullname: Croft, W. Bruce organization: Computer and Information Science Department, University of Massachusetts, Amherst, MA 01003 |
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| Cites_doi | 10.1108/eb026659 10.1145/182.358466 10.1016/S0306-4573(81)80004-0 10.1016/0306-4379(79)90004-8 10.1108/eb026637 10.1002/asi.4630330603 10.1002/asi.4630320407 10.1108/eb026683 10.1108/eb026647 |
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| Copyright | Copyright © 1986 John Wiley & Sons, Inc. 1986 INIST-CNRS Copyright Wiley Periodicals Inc. Mar 1986 |
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| DOI | 10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4 |
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| References | Buell, D. A.; Kraft, D. H. "Threshold values and Boolean retrieval." Information Processing and Management. 17: 127-136; 1981. Yu, C. T.; Buckley, C; Lam, K; Salton, G. "A generalized term dependence model in information retrieval." Information Technology. 2: 129-154; 1983. Robertson, S. E. "The probability ranking principle in IR." Journal of Documentation. 33: 294-304; 1977. Salton, G; McGill, M. I. Introduction to Modern Information Retrieval. New York, NY: McGraw-Hill; 1983. Yu, C. T.; Luk, W. S.; Siu, M. K. "On models of information retrieval processes." Information Systems. 4: 205-218; 1979. Bookstein, A. "A comparison of two systems of weighted Boolean retrieval." Journal of the American Society for Information Science. 31: 275-279; 1981. Duda, R. O.; Hart, P. E. Pattern Classification and Scene Analysis. New York, NY: Wiley; 1973. Van Rijsbergen, C. J. "A theoretical basis for the use of occurrence data in information retrieval." Journal of Documentation. 33: 106-119; 1977. Van Rijsbergen, C. J. Information Retrieval, 2nd ed. London, England: Butterworths; 1979. Radecki, T. "A probabilistic approach to information retrieval in systems with Boolean search request formulations." Journal of the American Society for Information Science. 33: 365-370; 1982. Harper, D. J.; Van Rijsbergen, C. J. "An evaluation of feedback in document retrieval using co-occurrence data." Journal of Documentation. 34: 189-216; 1978. Croft, W. B.; Harper, D. J. "Using probabilistic models of document retrieval without relevance information." Journal of Documentation. 35: 285-295; 1979. Horowitz, E; Sahni, S. Fundamentals of Data Structures. Potomac, MD: Computer Science Press; 1976. Salton, G; Fox, E. A.; Wu, H. "Extended Boolean information retrieval." Communications of the ACM. 26: 1022-1036; 1983. 1979; 35 1983; 2 1978; 34 1982; 33 1976 1985 1979; 4 1984 1973 1983 1977; 33 1981; 17 1980 1983; 26 1979 1981; 31 Yu (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB13) 1979; 4 Salton (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB2) 1983 Robertson (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB14) 1977; 33 Buell (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB5) 1981; 17 Borgman (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB4) 1984 Yu (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB10) 1983; 2 Van Rijsbergen (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB16) 1980 Van Rijsbergen (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB9) 1977; 33 Bookstein (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB6) 1981; 31 Harper (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB15) 1978; 34 Croft (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB8) 1979; 35 Radecki (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB7) 1982; 33 Van Rijsbergen (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB1) 1979 Salton (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB11) 1985 Horowitz (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB18) 1976 Salton (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB3) 1983; 26 Duda (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB12) 1973 Sparck Jones (10.1002/(SICI)1097-4571(198603)37:2<71::AID-ASI3>3.0.CO;2-4-BIB17) 1980 |
| References_xml | – reference: Buell, D. A.; Kraft, D. H. "Threshold values and Boolean retrieval." Information Processing and Management. 17: 127-136; 1981. – reference: Horowitz, E; Sahni, S. Fundamentals of Data Structures. Potomac, MD: Computer Science Press; 1976. – reference: Yu, C. T.; Buckley, C; Lam, K; Salton, G. "A generalized term dependence model in information retrieval." Information Technology. 2: 129-154; 1983. – reference: Duda, R. O.; Hart, P. E. Pattern Classification and Scene Analysis. New York, NY: Wiley; 1973. – reference: Robertson, S. E. "The probability ranking principle in IR." Journal of Documentation. 33: 294-304; 1977. – reference: Croft, W. B.; Harper, D. J. "Using probabilistic models of document retrieval without relevance information." Journal of Documentation. 35: 285-295; 1979. – reference: Bookstein, A. "A comparison of two systems of weighted Boolean retrieval." Journal of the American Society for Information Science. 31: 275-279; 1981. – reference: Van Rijsbergen, C. J. "A theoretical basis for the use of occurrence data in information retrieval." Journal of Documentation. 33: 106-119; 1977. – reference: Salton, G; Fox, E. A.; Wu, H. "Extended Boolean information retrieval." Communications of the ACM. 26: 1022-1036; 1983. – reference: Harper, D. J.; Van Rijsbergen, C. J. "An evaluation of feedback in document retrieval using co-occurrence data." Journal of Documentation. 34: 189-216; 1978. – reference: Radecki, T. "A probabilistic approach to information retrieval in systems with Boolean search request formulations." Journal of the American Society for Information Science. 33: 365-370; 1982. – reference: Yu, C. T.; Luk, W. S.; Siu, M. K. "On models of information retrieval processes." Information Systems. 4: 205-218; 1979. – reference: Van Rijsbergen, C. J. Information Retrieval, 2nd ed. London, England: Butterworths; 1979. – reference: Salton, G; McGill, M. I. Introduction to Modern Information Retrieval. 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| SubjectTerms | Advantages Boolean Boolean algebra Boolean strategies Dependence Exact sciences and technology Fuzzy sets General aspects Information and communication sciences Information processing and retrieval Information retrieval Information retrieval. Man machine relationship Information science. Documentation Information storage and retrieval Information work Natural language Probabilistic indexing Probabilistic methods Probabilistic models Probability Queries R&D Relevance feedback Research & development Research process. Evaluation Retrieval Sciences and techniques of general use Searching Strategies Subject indexing Technical services Vector space |
| Title | Boolean queries and term dependencies in probabilistic retrieval models |
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