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Generating Pseudo Test Collections for Learning to Rank Scientific Articles [chapter]

Richard Berendsen, Manos Tsagkias, Maarten de Rijke, Edgar Meij
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Pseudo test collections are automatically generated to provide training material for learning to rank methods.  ...  We investigate how learning to rank performance varies when we use different methods for sampling annotations, and show how our pseudo test collection ranks systems compared to editorial topics with editorial  ...  Conclusion We have shown that it is feasible to generate pseudo test collections for training a learning to rank system on scientific document collections.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33247-0_6">doi:10.1007/978-3-642-33247-0_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ydc5auu5ibepjnfmuwdaeddbqy">fatcat:ydc5auu5ibepjnfmuwdaeddbqy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811140929/https://staff.fnwi.uva.nl/m.derijke/wp-content/papercite-data/pdf/berendsen-generating-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/47/34475b7f46481878bf67dced6c1a8e92537a93b0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33247-0_6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

The impact of educational technology: A radical reappraisal of research methods

P. David Mitchell
<span title="">1997</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eftojw5sn5gg7g6gvtnhgse6ti" style="color: black;">Research in Learning Technology</a> </i> &nbsp;
Much published research about education and the impact of technology is pseudo-scientific; it draws unwarranted conclusions based on conceptual blunders, inadequate design, so-called measuring instruments  ...  that do not measure, and/or use of inappropriate statistical tests.  ...  Conceivably, a comparison of names of authors of pseudo-scientific articles with those on the editorial boards of our journals might reveal another problem, and journal editors may have to find new referees  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/0968776970050108">doi:10.1080/0968776970050108</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zrwvi2aktnf7vnjoqnc5k3fidu">fatcat:zrwvi2aktnf7vnjoqnc5k3fidu</a> </span>
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A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents [article]

Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran
<span title="2020-10-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Therefore, to effectively utilize these large amounts of unlabeled articles, we propose a simple and efficient joint learning approach based on the idea of self-distillation.  ...  In contrast, digital libraries store millions of scientific articles online, covering a wide range of topics.  ...  ., 2017) has 350/50/100 scientific articles for the train/dev/test split.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.11980v1">arXiv:2010.11980v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/megyfzitbfhxlj47acxbymxgsi">fatcat:megyfzitbfhxlj47acxbymxgsi</a> </span>
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Toward whole-session relevance

Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;13</a> </i> &nbsp;
used to balance all interests. • Leads to the more general question of being able to learn diversity on a per-user/per-query basis.  ...  (2006 Software • OL-Diversity: Toolkit with different algorithms for online learning of diverse sets and rankings via implicit feedback. • SVM-Dyn: A software used to learn dynamic rankings from  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2484028.2484089">doi:10.1145/2484028.2484089</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/RamanBC13.html">dblp:conf/sigir/RamanBC13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7d36xyvelfhffluh6qh3pomyby">fatcat:7d36xyvelfhffluh6qh3pomyby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141107202202/http://www.cs.cornell.edu:80/%7Ekarthik/KarthikRaman.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e9/0e/e90ee83517a84ff3fdd6679bd29904be3b90dd61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2484028.2484089"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

The impact of educational technology: a radical reappraisal of research methods

P. David Mitchell
<span title="2011-12-30">2011</span> <i title="Association for Learning Technology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/k7ugnp2zybepthl6qesdfcyv6i" style="color: black;">Research in Learning Technology</a> </i> &nbsp;
Researchers usually claim each new device or procedure to be at least as effective as its predecessor. How valid is all this research? How to decide?  ...  What models, methods or media are likely to be most useful? From the invention of the printing press to multimedia software, educators have adopted unproven aids and fads.  ...  Conceivably, a comparison of names of authors of pseudo-scientific articles with those on the editorial boards of our journals might reveal another problem, and journal editors may have to find new referees  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3402/rlt.v5i1.10551">doi:10.3402/rlt.v5i1.10551</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vkwo6xwpabcthjf4v3jkwf5sqa">fatcat:vkwo6xwpabcthjf4v3jkwf5sqa</a> </span>
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SnapKin: a snapshot deep learning ensemble for kinase-substrate prediction from phosphoproteomics data [article]

Michael Lin, Di Xiao, Thomas A Geddes, James G. Burchfield, Benjamin Parker, Sean J. Humphrey, Pengyi Yang
<span title="2021-02-25">2021</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
that a 'pseudo-positive' learning strategy for alleviating small sample size is effective at improving model predictive performance.  ...  Here, we aim to develop advanced kinase-substrate prediction methods to address these challenges.  ...  Rank Sum test.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.02.23.432610">doi:10.1101/2021.02.23.432610</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pgc6bcyxbbghpavbwfdpxk64j4">fatcat:pgc6bcyxbbghpavbwfdpxk64j4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718000921/https://www.biorxiv.org/content/biorxiv/early/2021/02/25/2021.02.23.432610.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4a/d5/4ad51832c3b994c2358e22d8daf3a7accdd7195f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.02.23.432610"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [article]

Zhedong Zheng, Liang Zheng, Yi Yang
<span title="2017-08-22">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We adopt the deep convolutional generative adversarial network (DCGAN) for sample generation, and a baseline convolutional neural network (CNN) for representation learning.  ...  In this work, the generative adversarial network (GAN) is used to generate unlabeled samples. We propose the label smoothing regularization for outliers (LSRO).  ...  Person Re-id Datasets Market-1501 is a large-scale person re-ID dataset collected from six cameras. It contains 19,732 images for testing and 12,936 images for training.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.07717v5">arXiv:1701.07717v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6uf7lhsdijbojm76sbiv4a7v7m">fatcat:6uf7lhsdijbojm76sbiv4a7v7m</a> </span>
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BERT-based Acronym Disambiguation with Multiple Training Strategies [article]

Chunguang Pan, Bingyan Song, Shengguang Wang, Zhipeng Luo
<span title="2021-03-02">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Since few works have been done for AD in scientific field, we propose a binary classification model incorporating BERT and several training strategies including dynamic negative sample selection, task  ...  adaptive pretraining, adversarial training and pseudo labeling in this paper.  ...  The first-generation PTMs aim to learn good word embeddings.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.00488v2">arXiv:2103.00488v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rnllmywavjbl5onjhhxgejdm54">fatcat:rnllmywavjbl5onjhhxgejdm54</a> </span>
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Delineating the impact of machine learning elements in pre-microRNA detection

Müşerref Duygu Saçar Demirci, Jens Allmer
<span title="2017-03-29">2017</span> <i title="PeerJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eyfkjqp7sva5bbnwatk5zazi7q" style="color: black;">PeerJ</a> </i> &nbsp;
Furthermore, we established two new negative datasets and analyzed the impact of using them for training and testing.  ...  It was our aim to attach an order of importance to the parts involved in ML for pre-miRNA detection, but instead we found that all parts are intricately connected and their contributions cannot be easily  ...  RowShuf had a more than 2 fold lower rank sum compared to ColShuf and pseudo had a one fold lower rank sum (Fig. 2) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj.3131">doi:10.7717/peerj.3131</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28367373">pmid:28367373</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5374968/">pmcid:PMC5374968</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dhvth22zzferljshimtyfmc3he">fatcat:dhvth22zzferljshimtyfmc3he</a> </span>
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Estimation of statistical translation models based on mutual information for ad hoc information retrieval

Maryam Karimzadehgan, ChengXiang Zhai
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;10</a> </i> &nbsp;
Existing work has relied on training on synthetic queries generated based on a document collection. However, this method is computationally expensive and does not have a good coverage of query words.  ...  We also propose to regularize estimated translation probabilities to ensure sufficient probability mass for self-translation.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their useful comments. This material is based upon work supported by a Sohaib and Sara Abbasi Fellowship, Yahoo!  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835505">doi:10.1145/1835449.1835505</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/KarimzadehganZ10.html">dblp:conf/sigir/KarimzadehganZ10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lcivnnmokvgbfpfxggm7skj26u">fatcat:lcivnnmokvgbfpfxggm7skj26u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110427232536/http://sifaka.cs.uiuc.edu:80/~mkarimz2/fp030-karimzadehgan.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/96/5a96bcd0eaabb6cacc36a7191fe47e22424d2945.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835505"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Comparing Performance of Various Optimization Algorithms for Effective Information Retrieval – A Review

Tahera Shaikh
<span title="2017-11-14">2017</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
There is clear demand for fine tuning the performance of IR on Web data.  ...  Information Retrieval (IR) is finding documents of an unstructured source like text that fulfills an information need from within large collections usually stored on computers.  ...  The author described the description and methodology used for optimization algorithms and the paper also mentions demerits to be considered before doing any implementation and research on mentioned algorithms  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2017.11117">doi:10.22214/ijraset.2017.11117</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jid23wuawvh2zk5cclg5bjt37y">fatcat:jid23wuawvh2zk5cclg5bjt37y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709052240/http://ijraset.com/fileserve.php?FID=11124" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c8/26/c826dbdb3530b7f119e727006618fe3284f84a17.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2017.11117"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation

Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song
<span title="2021-02-09">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
This study presents a three dimensional (3D) nuclear texture description method for cell nucleus classification and variation measurement in chromatin patterns on the transition to another phenotypic state  ...  AbstractClassification and characterisation of cellular morphological states are vital for understanding cell differentiation, development, proliferation and diverse pathological conditions.  ...  Figure 3 . 3 Mean ranks of 3D handcrafted descriptors and FV-CNN from Kruskal-Wallis test results for fibroblast and PC3 cell collections (a) AUC. (b) F1 Score.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-021-82985-9">doi:10.1038/s41598-021-82985-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33564040">pmid:33564040</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7873284/">pmcid:PMC7873284</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6zyx2ez6i5dejfbp4fxlxdwtbm">fatcat:6zyx2ez6i5dejfbp4fxlxdwtbm</a> </span>
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Knowledge retrieval for scientific literatures

Chun Guo, Renuka Chinchankar, Xiaozhong Liu
<span title="">2012</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tjf7dsd72ffqhcyw5p5me7666q" style="color: black;">Proceedings of the American Society for Information Science and Technology</a> </i> &nbsp;
In this paper, we propose innovative and economical ways to generate knowledge-based structural metadata and demonstrate a prototype knowledge retrieval system, WikiBackyard, to serve user's knowledge  ...  The system benefits users by providing structure-level access to scientific papers and automatically inferring structural knowledge from their natural language queries by leveraging knowledge recommendation  ...  All the keywords of the top ranked results are collected and grouped based on their specific knowledge structure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/meet.14504901152">doi:10.1002/meet.14504901152</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ld3kmtsv7bbjzae5wit7ed4v6m">fatcat:ld3kmtsv7bbjzae5wit7ed4v6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140809064313/http://www.asis.org:80/asist2012/proceedings/Submissions/152.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/c1/fdc15b25bb0c0cd39f183c07a4ce046b642e0370.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/meet.14504901152"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions

Junjie Chen, Xiaolong Wang, Bin Liu
<span title="2016-01-12">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
Various features and machine learning techniques have been proposed to predict miRNAs.  ...  As traditional experimental methods for miRNA identification are time and money consuming, recently more attention has been paid to the development of computational approaches.  ...  The − S xue was collected by the widely accepted characteristics and the − S zou was collected by a multi-level negative sample selection technique. For more information, please refer to 17,20 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/srep19062">doi:10.1038/srep19062</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26753561">pmid:26753561</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4709562/">pmcid:PMC4709562</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qgzj55erxnew3at77lna3xjqpy">fatcat:qgzj55erxnew3at77lna3xjqpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200314103023/https://www.nature.com/articles/srep19062.pdf?error=cookies_not_supported&amp;code=2fd993fd-1e07-47fa-aa79-0e831e98bcfd" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/00/df00b8d75d1260c0ecc6b2f6cf99bde1b26fa308.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/srep19062"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709562" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Combining concepts and language models for information access

Edgar Meij
<span title="2011-05-24">2011</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/emlsu7gwyfalfms3c35odq5qlm" style="color: black;">SIGIR Forum</a> </i> &nbsp;
Our empirical results show that a combination of top-down conceptual information and bottom-up statistical information obtains optimal performance on a variety of tasks and test collections.  ...  This, in turn, allows us to account for the language associated with concepts within the retrieval model in a principled and transparent manner.  ...  The overall results for the TREC Robust 2004 test collection are partly consistent with most related work on pseudo relevance feedback: in general, pseudo relevance feedback helps in terms of recall-oriented  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1988852.1988873">doi:10.1145/1988852.1988873</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5zppjnfynzhpxblsvkjdftdnua">fatcat:5zppjnfynzhpxblsvkjdftdnua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923125234/https://pure.uva.nl/ws/files/995957/84148_proefschrift_Meij_inclusief_omslag.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/c3/19c3ce6db101110fd89611d950720784df55a2b1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1988852.1988873"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> acm.org </button> </a>
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