Experiments on the determination of the relationships between terms
- 1 June 1979
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Database Systems
- Vol. 4 (2), 240-260
- https://doi.org/10.1145/320071.320081
Abstract
The retrieval effectiveness of an automatic method that uses relevance judgments for the determination of positive as well as negative relationships between terms is evaluated. The term relationships are incorporated into the retrieval process by using a generalized similarity function that has a term match component, a positive term relationship component, and a negative term relationship component. Two strategies, query partitioning and query clustering, for the evaluation of the effectiveness of the term relationships are investigated. The latter appears to be more attractive from linguistic as well as economic points of view. The positive and the negative relationships are verified to be effective both when used individually, and in combination. The importance attached to the term relationship components relative to that of term match component is found to have a substantial effect on the retrieval performance. The usefulness of discriminant analysis as a technique for determining the relative importance of these components is investigated.Keywords
This publication has 10 references indexed in Scilit:
- Single‐pass method for determining the semantic relationships between termsJournal of the American Society for Information Science, 1977
- A Statistical Model for Relevance Feedback in Information RetrievalJournal of the ACM, 1976
- A theory of term importance in automatic text analysisJournal of the American Society for Information Science, 1975
- A Formal Construction of Term ClassesJournal of the ACM, 1975
- A methodology for the construction of term classesInformation Storage and Retrieval, 1974
- An evaluation of query expansion by the addition of clustered terms for a document retrieval systemInformation Storage and Retrieval, 1972
- The construction of retrieval environments and pseudo-classifications based on external relevanceInformation Storage and Retrieval, 1970
- Semantic Clustering of Index TermsJournal of the ACM, 1968
- Current approaches to classification and clump-finding at the Cambridge Language Research UnitThe Computer Journal, 1967
- The Association Factor in Information RetrievalJournal of the ACM, 1961