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Modeling and solving term mismatch for full-text retrieval

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Le ZhaoAuthors Info & Claims

ACM SIGIR Forum, Volume 46, Issue 2

Pages 117 - 118

https://doi.org/10.1145/2422256.2422277

Published: 21 December 2012 Publication History

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Wu SWei WZhang MChen ZMa JRen Zde Rijke MRen PHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Generative Retrieval as Multi-Vector Dense RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657697(1828-1838)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657697
Yu PMallia APetri M(2024)Improved Learned Sparse Retrieval with Corpus-Specific VocabulariesAdvances in Information Retrieval10.1007/978-3-031-56063-7_12(181-194)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56063-7_12
Fu XDu JZheng HLi JHou CZhou QKim H(2023)SS-BERT: A Semantic Information Selecting Approach for Open-Domain Question AnsweringElectronics10.3390/electronics1207169212:7(1692)Online publication date: 3-Apr-2023
https://doi.org/10.3390/electronics12071692
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Modeling and solving term mismatch for full-text retrieval
1. Applied computing
  1. Document management and text processing
2. Information systems
  1. Information retrieval

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Conceptual information retrieval from full-text
RIAO '88: User-Oriented Content-Based Text and Image Handling

In this paper we report on our attempts to perform full-text information retrieval using a technique that is similar in spirit to frame-based methods in natural language understanding. In our prototype system, called RUBRIC, we employ concepts and their ...
Solving the word mismatch problem through automatic text analysis
Execution performance issues in full-text information retrieval

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Published In

ACM SIGIR Forum Volume 46, Issue 2

December 2012

109 pages

ISSN:0163-5840

DOI:10.1145/2422256

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 21 December 2012

Published in SIGIR Volume 46, Issue 2

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Wu SWei WZhang MChen ZMa JRen Zde Rijke MRen PHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Generative Retrieval as Multi-Vector Dense RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657697(1828-1838)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657697
Yu PMallia APetri M(2024)Improved Learned Sparse Retrieval with Corpus-Specific VocabulariesAdvances in Information Retrieval10.1007/978-3-031-56063-7_12(181-194)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56063-7_12
Fu XDu JZheng HLi JHou CZhou QKim H(2023)SS-BERT: A Semantic Information Selecting Approach for Open-Domain Question AnsweringElectronics10.3390/electronics1207169212:7(1692)Online publication date: 3-Apr-2023
https://doi.org/10.3390/electronics12071692
Dobrynin VAbramovich RPlatonov A(2023)Building a Full-text Search Index Using "Transformer" Neural Network2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT59525.2023.10313200(1-5)Online publication date: 18-Oct-2023
https://doi.org/10.1109/AICT59525.2023.10313200
Mallia AMackenzie JSuel TTonellotto NAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)Faster Learned Sparse Retrieval with Guided TraversalProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531774(1901-1905)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3531774
Ltaifa IHlaoua LRomdhane L(2020)Hybrid Deep Neural Network-Based Text Representation Model to Improve Microblog RetrievalCybernetics and Systems10.1080/01969722.2019.1705548(1-25)Online publication date: 3-Jan-2020
https://doi.org/10.1080/01969722.2019.1705548

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Solving the word mismatch problem through automatic text analysis

Execution performance issues in full-text information retrieval

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