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Title: | A principled approach using fuzzy set theory for passage-based document retrieval | Authors: | Dang, EKF Luk, RWP Allan, J |
Issue Date: | Jul-2021 | Source: | IEEE transactions on fuzzy systems, July 2021, v. 29, no. 7, 9076849, p. 1967-1977 | Abstract: | In this article, we present a novel principled approach to passage-based (document) retrieval using fuzzy set theory. The approach formulates passage score combination according to general relevance decision principles. By operationalizing these principles using aggregation operators of fuzzy set theory, our approach justifies the common heuristics of taking the maximum constituent passage score as the overall document score. Experiments show that this heuristics is only the near best, with some fuzzy set aggregation operators stipulated in our approach being better methods. The significance of our principled approach is the applicability of many passage score combination methods, potentially bringing further performance enhancement. Experiments on several text retrieval conference collections demonstrate that our approach performs significantly better than document-based retrieval. While recent works in the literature mostly employ document-based rather than passage-based retrieval due to the common conception that document length normalization solves the problem of varying document lengths, our results show that document length normalization alone is not sufficient, especially in pseudo-relevance feedback retrieval. | Keywords: | Fuzzy aggregation Fuzzy information retrieval (IR) system Generalized mean (GMean) Performance evaluation Principled passage-based retrieval T-conorms |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on fuzzy systems | ISSN: | 1063-6706 | EISSN: | 1941-0034 | DOI: | 10.1109/TFUZZ.2020.2990110 | Rights: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication E. K. F. Dang, R. W. P. Luk and J. Allan, "A Principled Approach Using Fuzzy Set Theory for Passage-Based Document Retrieval," in IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1967-1977, July 2021 is available at https://doi.org/10.1109/TFUZZ.2020.2990110 |
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