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Semantic ranking of lecture slides based on conceptual relationship and presentational structure

Yuanyuan Wang, Kazutoshi Sumiya
2010 Procedia Computer Science  
We also present a prototype system supported by our method for slide ranking and evaluate its effectiveness through experiments.  ...  We describe a presentation content retrieval method involving the semantic ranking of target slides based on the relations between slides related to a user query.  ...  Therefore, our objectives are to retrieve users' desired slides effectively by attracting the relevant information implicitly between slides in terms of user queries, and to rank the retrieved slides into  ... 
doi:10.1016/j.procs.2010.08.005 fatcat:unqmncg3bzartoscbb6nu3xsui

Word Indexing Versus Conceptual Indexing in Medical Image Retrieval

Karim Gasmi, Mouna Torjmen Khemakhem, Maher Ben Jemaa
2012 Conference and Labs of the Evaluation Forum  
Our aim is to study the effectiveness of using conceptual indexing comparing to word indexing in medical image retrieval.  ...  However, the conceptual indexing improves the result of some queries, which encourages us to continue the study of conceptual indexing and retrieval.  ...  of information retrieval for re-rank the results obtained.  ... 
dblp:conf/clef/GasmiKJ12 fatcat:msih53y5vrbkpmmqrzecyq2byy

Learning to handle negated language in medical records search

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
In addition, in combination with a traditional query expansion and a conceptual representation approach, our proposed framework could achieve a retrieval effectiveness comparable to the performance of  ...  While it is possible to enhance a retrieval system by taking into account the context of terms within the indexing representation of a document, some non-relevant medical records can still be ranked highly  ...  The higher these retrieval measures, the more effective the retrieval system.  ... 
doi:10.1145/2505515.2505706 dblp:conf/cikm/LimsopathamMO13 fatcat:pjpgpd7m6nfyjmizm5p2wq5zhe

Linguistic knowledge can improve information retrieval

William A. Woods, Lawrence A. Bookman, Ann Houston, Robert J. Kuhns, Paul Martin, Stephen Green
2000 Proceedings of the sixth conference on Applied natural language processing -  
Unlike many attempts to combine natural language processing with information retrieval, these results show substantial benefit from using linguistic knowledge. * Lawrence Bookman is now at Torrent Systems  ...  experiments using a new approach to information access that combines techniques from natural language processing and knowledge representation with a penalty-based technique for relevance estimation and passage retrieval  ...  Acknowledgments Many other people have been involved in creating the conceptual indexing and retrieval system described here.  ... 
doi:10.3115/974147.974183 dblp:conf/anlp/WoodsBHKMG00 fatcat:qq4lq3ztdnf3vhyxuhmn74hgbm

Improved Retrieval of Online Images via Site Operator: Findings at a Website Level

Hamid Keshavarz, Saleh Rahimi
2018 International journal of information science and management  
Also was among the goals of the study to compare the effectiveness of different codes assigned to sample images in retrieval ranks of images by Google search engine.  ...  Different codes and descriptors show different retrieval ranks and results considerable for designers, indexers and even users  ...  effect on improving image retrieval.  ... 
doaj:3cc58c5fe7314bbf87a57dc1a07837f8 fatcat:lvxzlpfg45fldkdkoadsqzeka4

A Proposed Conceptual Framework for a Representational Approach to Information Retrieval [article]

Jimmy Lin
2021 arXiv   pre-print
This paper outlines a conceptual framework for understanding recent developments in information retrieval and natural language processing that attempts to integrate dense and sparse retrieval methods.  ...  I show that many recently proposed retrieval methods, including multi-stage ranking designs, can be seen as different parameterizations in this framework, and that a unified view suggests a number of open  ...  The retrieval task is also called top k retrieval (or ranking), where k is the length of the ranked list (also known as the retrieval or ranking depth).  ... 
arXiv:2110.01529v2 fatcat:iluzpawvjbbwdan3ei2aanywm4

User Retrieval of Trademarks System Using Conceptual Similarity Approach

Sonali Khamkar
2018 Helix  
The conceptual similarity is also one issue regarding trademark infringement litigation for different trademarks. This paper retrieves the trademark suggestion on the basis of conceptual similarity.  ...  Because of histogram algorithm calculated logo similarity effectively. Literature Review F. M. Anuar, et al. proposed to retrieve text trademark on the basis of conceptual similarity.  ...  The system also retrieved ranking result of a query image with histogram algorithm which is shown in figure 5, 6.  ... 
doi:10.29042/2018-3754-3758 fatcat:yl5grdv7dzhtzd7jekrvwmn5ny

Inferring Conceptual Relationships When Ranking Patients [article]

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2017 arXiv   pre-print
Our results show the effectiveness of our approach to model the implicit knowledge in patient search, whereby the retrieval performance is significantly improved over both an effective conceptual representation  ...  We evaluate the retrieval effectiveness of our proposed approach in the context of the TREC 2011 and 2012 Medical Records track.  ...  Specifically, we propose a new QE approach that uses conceptual relationships extracted from both external resources and the top-ranked medical records to improve retrieval effectiveness.  ... 
arXiv:1702.00171v1 fatcat:bn4biir7yzg3dbxmb2736xdo6q

Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature

Wei Zhou, Clement Yu, Neil Smalheiser, Vetle Torvik, Jie Hong
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
Based on the TREC platform, we show that appropriate use of domainspecific knowledge in a proposed conceptual retrieval model yields about 23% improvement over the best reported result in passage retrieval  ...  ., information about concepts and relationships between concepts in a certain domain) in an information retrieval (IR) system to improve its effectiveness in retrieving biomedical literature.  ...  or conceptual retrieval systems  ... 
doi:10.1145/1277741.1277853 dblp:conf/sigir/ZhouYSTH07 fatcat:k263t2werjbb3icrwf4arvq6hm

LSIS at TREC 2012 Medical Track - Experiments With Conceptualization, a DFR Model and a Semantic Measure

Hussam Hamdan, Shereen Albitar, Patrice Bellot, Bernard Espinasse, Sébastien Fournier
2012 Text Retrieval Conference  
We focus on the impact of combining the word space and the concept space in the information retrieval process.  ...  Then, we expanded the documents by performing automatic text conceptualization using UMLS ® and the MetaMap software on medical records.  ...  Concepts that were added to this space through the conceptualization phase did not contribute effectively in improving document retrieval.  ... 
dblp:conf/trec/HamdanABEF12 fatcat:7ml5gg4p25fn5dwqg6uzabiniq

A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques [article]

Jimmy Lin, Xueguang Ma
2021 arXiv   pre-print
Recent developments in representational learning for information retrieval can be organized in a conceptual framework that establishes two pairs of contrasts: sparse vs. dense representations and unsupervised  ...  We present a novel technique dubbed "uniCOIL", a simple extension of COIL that achieves to our knowledge the current state-of-the-art in sparse retrieval on the popular MS MARCO passage ranking dataset  ...  Dense retrieval techniques are typically compared against a bag-of-words exact match ranking model such as BM25, which in this context can be understood as unsupervised sparse retrieval.  ... 
arXiv:2106.14807v1 fatcat:j7dl4vcpsfb2zdb5byjcmvlkea

Using english to retrieve software

M.R. Girardi, B. Ibrahim
1995 Journal of Systems and Software  
Some results from an experiment evaluating retrieval effectiveness are discussed.  ...  Retrieval similarity measures provide good retrieval effectiveness by supporting semantic matching and processing of lexical relationships between terms.  ...  The 'rank' variable describes the actual rank of the relevant retrieved material within the list of retrieved material.  ... 
doi:10.1016/0164-1212(94)00137-c fatcat:dnbnccasxrbmlff5aawcpax4y4

Structural Ambiguity and Conceptual Information Retrieval

Mathis Huey-chyun Chen, Jason J. S. Chang
1995 Pacific Asia Conference on Language, Information and Computation  
The prepositional phrase is then attached in favor of the constituent that has more conceptual presence in the ranked retrieved sentences. An experiment was implemented to embody the idea.  ...  Instead, information retrieval technique is used to retrieve conceptually most relevant sentences using the words from the ambiguous structure as query.  ...  Conceptually, we use the following query to retrieve relavant sentences from the database.  ... 
dblp:conf/paclic/ChenC95 fatcat:itasmzwhkbbapj4lvmrj4qvfdu

From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search [article]

Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon
2022 arXiv   pre-print
Seed studies help verify the effectiveness of a query prior to the full assessment of retrieved studies.  ...  To support our collection, we provide an analysis, previously not possible, on how seed studies impact retrieval and perform several experiments using seed-study based methods to compare the effectiveness  ...  These two use cases demonstrate (1) the effectiveness of ranking combined seed-snowballed and retrieved studies sets (i.e., integrating the seed-snowballed set into the retrieved studies and then ranking  ... 
arXiv:2204.03096v1 fatcat:vgnbiflacffdfpnchx4ggqnpwm

Biomedical concept extraction based on combining the content-based and word order similarities

Duy Dinh, Lynda Tamine
2011 Proceedings of the 2011 ACM Symposium on Applied Computing - SAC '11  
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition.  ...  In this paper, we present an approach of semantic indexing and retrieval of biomedical documents through the process of identifying domain concepts extracted from the Medical Subject Headings (MeSH) thesaurus  ...  OUR CONCEPTUAL INDEXING AND RETRIEVAL APPROACH In this work, we design a conceptual indexing and retrieval framework that incorporate identified terms denoting concepts from MeSH in an attempt to highlight  ... 
doi:10.1145/1982185.1982438 dblp:conf/sac/DinhT11 fatcat:icsfnqldxbbatj2dmuj5mexm3e
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