Results 21 to 30 of about 1,872,988 (376)
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Query expansion has been widely used to improve the search results of first-stage retrievers, yet its influence on second-stage, cross-encoder rankers remains under-explored.
Minghan Li +7 more
semanticscholar +1 more source
A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis. [PDF]
Inf Process Manag, 2011 Rahman MM, Antani SK, Thoma GR.
europepmc +3 more sources
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products. Although this challenge is partially addressed by a question answering (QA) approach which finds a value in ...
Keiji Shinzato +3 more
semanticscholar +1 more source
BERT-QE: Contextualized Query Expansion for Document Re-ranking [PDF]
Findings, 2020 Query expansion aims to mitigate the mismatch between the language used in a query and in a document. However, query expansion methods can suffer from introducing non-relevant information when expanding the query.
Zhi Zheng +5 more
semanticscholar +1 more source
Query expansion using the clustering of pseudo relevant documents with query sensitive similarity [PDF]
مجله مدل سازی در مهندسی, 2017 Query expansion as one of query adaptation approaches, improves retrieval effectiveness of information retrieval. Pseudo-relevance feedback (PRF) is a query expansion approach that supposes top-ranked documents are relevant to the query concept, and ...
Reza Khodaei +2 more
doaj +1 more source
Conceptual query expansion [PDF]
Data & Knowledge Engineering, 2006 This article presents a new, hybrid approach that projects an initial query result onto global information, yielding a local conceptual overview. Concepts found this way are candidates for query refinement. We show that the resulting conceptual structure after a typical short query of 2 terms, contains refinements that perform just as well as a most ...
Grootjen, F.A., Weide, T.P. van der
openaire +3 more sources
Combining fields for query expansion and adaptive query expansion [PDF]
Information Processing & Management, 2007 In this paper, we aim to improve query expansion for ad-hoc retrieval, by proposing a more fine-grained term reweighting process. This fine-grained process uses statistics from the representation of documents in various fields, such as their titles, the anchor text of their incoming links, and their body content.
Iadh Ounis, Ben He
openaire +2 more sources
Query Refinement into Information Retrieval Systems: An Overview
Journal of Information and Organizational Sciences, 2023 Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in ...
Mawloud Mosbah
doaj +1 more source
Neural text generation for query expansion in information retrieval
WI/IAT, 2021 Expanding users’ query is a well-known way to improve the performance of document retrieval systems. Several approaches have been proposed in the literature, and some of them are considered as yielding state-of-the-art results in Information Retrieval ...
V. Claveau
semanticscholar +1 more source
A New Approach in Query Expansion Methods for Improving Information Retrieval
Jurnal Informatika, 2021 This research develops a new approach to query expansion by integrating Association Rules (AR) and Ontology. In the proposed approach, there are several steps to expand the query, namely (1) the document retrieval step; (2) the step of query expansion ...
Lasmedi Afuan +2 more
doaj +1 more source