Results 11 to 20 of about 1,872,988 (376)
Translating queries into snippets for improved query expansion [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 User logs of search engines have recently been applied successfully to improve various aspects of web search quality. In this paper, we will apply pairs of user queries and snippets of clicked results to train a machine translation model to bridge the "lexical gap" between query and document space.
Stefan Riezler +2 more
openalex +4 more sources
Conqueries: An Agent That Supports Query Expansion [PDF]
, 2005 This article presents Conqueries, an agent that assists users during their searches on search engines. The system recommends terms and modifiers to users so that they can reformulate their queries. The system unobtrusively learns the user's current needs in order to propose personalized lists of keywords.
Jean-Yves Delort
openalex +4 more sources
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval [PDF]
Scientific ReportsPre-trained models have garnered significant attention in the field of information retrieval, particularly for improving document ranking. Typically, an initial retrieval step using sparse methods such as BM25 is employed to obtain a set of pseudo ...
Min Pan +4 more
doaj +2 more sources
A Taxonomy and Survey of Semantic Approaches for Query Expansion
IEEE Access, 2019 Conventional approaches to query expansion (QE) rely on the integration of an unstructured corpus and probabilistic rules for the extraction of candidate expansion terms.
Muhammad Ahsan Raza +4 more
doaj +2 more sources
A study of query expansion methods for patent retrieval [PDF]
, 2011 Patent retrieval is a recall-oriented search task where the objective is to find all possible relevant documents. Queries in patent retrieval are typically very long since they take the form of a patent claim or even a full patent application in the ...
Jones, Gareth J.F., Magdy, Walid
core +2 more sources
Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]
Remote Sensing, 2019 Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task.
Raffaele Imbriaco +3 more
doaj +5 more sources
Short Query Expansion for Microblog Retrieval
Procedia Computer Science, 2016 AbstractTwitter has emerged as the most popular among microblogging service providers. The content provided in Twitter is large, diverse, and huge in quantity. Given the increasing amount of information available through such microblogging sites, it would be interesting to be able to retrieve useful tweets in response to a given information need ...
Meriem Amina Zingla +2 more
openalex +3 more sources
Query2doc: Query Expansion with Large Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 This paper introduces a simple yet effective query expansion approach, denoted as query2doc, to improve both sparse and dense retrieval systems. The proposed method first generates pseudo-documents by few-shot prompting large language models (LLMs), and ...
Liang Wang, Nan Yang, Furu Wei
semanticscholar +1 more source
Query Expansion by Prompting Large Language Models [PDF]
arXiv.org, 2023 Query expansion is a widely used technique to improve the recall of search systems. In this paper, we propose an approach to query expansion that leverages the generative abilities of Large Language Models (LLMs).
R. Jagerman +4 more
semanticscholar +1 more source
A Survey of Automatic Query Expansion in Information Retrieval [PDF]
ACM Computing Surveys, 2012 Claudio Carpineto
exaly +2 more sources