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Improving biomedical document retrieval using domain knowledge

Shuguang Wang, Milos Hauskrecht
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;08</a> </i> &nbsp;
We address the problem by exploiting a domain knowledge layer, a rich network of relations among knowledge entities in the domain extracted from a large corpus of documents.  ...  We develop and study a new framework for i) learning and aggregating the relations in the knowledge layer from the literature corpus; ii) and exploiting these relations to improve document retrieval.  ...  In future, we would like to verify our framework on retrieval of full text documents and build a more comprehensive domain knowledge that explicitly captures a variety of domain relations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1390334.1390503">doi:10.1145/1390334.1390503</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/WangH08.html">dblp:conf/sigir/WangH08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f5gv4xnm5fhyvm56vzpsfxox3i">fatcat:f5gv4xnm5fhyvm56vzpsfxox3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100709051136/http://www.cs.pitt.edu/~swang/publications/pp823-wang.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/5d/fa/5dfadaabd95a2efa3219d07b009a4188f2a1bf50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1390334.1390503"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Cluster-based text categorization

Makoto Iwayama, Takenobu Tokunaga
<span title="">1995</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;95</a> </i> &nbsp;
Text categorization can be viewed asaprocessof catego~search, in which one or more categories for a test document are searchedfor by using given training documents with known categories.  ...  The "efficiency, effectiveness, and noise tolerance of this search strategy were confirmed to be better than those of a full search, a category-based search, and a cluster-based search with nonprobabilistic  ...  Acknowledgments The authors are grateful to Hiroshi Motoda for beneficial discussions, and would like to thank the anonymous reviewers for their useful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/215206.215371">doi:10.1145/215206.215371</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/IwayamaT95.html">dblp:conf/sigir/IwayamaT95</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rfbriwaphvecbnozl664qfrzsu">fatcat:rfbriwaphvecbnozl664qfrzsu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218023230/https://static.aminer.org/pdf/20170130/pdfs/sigir/gew86mffnktezx7b1yl5bduvoqycrxdp.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/6a/ae/6aae3851aca403fe4ea9953ec2b312ceb21bfb36.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/215206.215371"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Fast statistical parsing of noun phrases for document indexing

Chengxiang Zhai
<span title="">1997</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/su2rcizddfcajmiqunpi6pu2qq" style="color: black;">Proceedings of the fifth conference on Applied natural language processing -</a> </i> &nbsp;
This paper proposes a new probabilistic model for noun phrase parsing, and reports on the application of such a parsing technique to enhance document indexing.  ...  Information Retrieval (IR) is an important application area of Natural Language Processing (NLP) where one encounters the genuine challenge of processing large quantities of unrestricted natural language  ...  Acknowledgments The author is especially grateful to David A. Evans for his advising and supporting of this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/974557.974603">doi:10.3115/974557.974603</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/anlp/Zhai97.html">dblp:conf/anlp/Zhai97</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhjkvn3j5rcthbzvtl7oj4n4w4">fatcat:jhjkvn3j5rcthbzvtl7oj4n4w4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705105957/http://wing.comp.nus.edu.sg/%7Eantho/A/A97/A97-1046.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/ba/df/badfdb3ecc220e13d719b3a6d934825331fb3084.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/974557.974603"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Comparing and evaluating information retrieval algorithms for news recommendation

Toine Bogers, Antal van den Bosch
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxvef3lblbcxbliuugiju5sify" style="color: black;">Proceedings of the 2007 ACM conference on Recommender systems - RecSys &#39;07</a> </i> &nbsp;
Using more current probabilistic retrieval algorithms results in significant performance boosts. We test our ideas on a test collection that we have made publicly available.  ...  In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms.  ...  ACKNOWLEDGMENTS We would like to thank our colleagues from the ILK workgroup for helping us judge the Reuters documents on their relatedness.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1297231.1297256">doi:10.1145/1297231.1297256</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/recsys/BogersB07.html">dblp:conf/recsys/BogersB07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cgtphqkowzhlbkm7hqtn3cujem">fatcat:cgtphqkowzhlbkm7hqtn3cujem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808224229/https://ilk.uvt.nl/~toine/apropos/papers/bogers.2007.recsys2007-poster.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/29/75/2975d6f822fca33ff81501ebe0e27d8e3a637b95.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1297231.1297256"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Novel Approach for Document Retrieval System with User Preferences

Sandeep Kaur, Nidhi Bhatla
<span title="2014-09-18">2014</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
This paper proposes a method for Document Retrieval Systems. The document retrieval system finds information to given criteria by matching text record (documents) against user queries.  ...  The probabilistic ranking based Kuhn munkres algorithm uses the graphical model such as Bayesian statistics with Bayesian's theorem to find the probability of documents for more relevant results.  ...  helps to increase the overall experience in research of relevant documents that are more meaning full and useful.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/17845-8789">doi:10.5120/17845-8789</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nc2fxlpjdvgtznwmppu3j4g7ga">fatcat:nc2fxlpjdvgtznwmppu3j4g7ga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603194938/https://research.ijcaonline.org/volume102/number9/pxc3898789.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/a1/a4/a1a4d982d15671b98bd87e1c7ebde7dc155204eb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/17845-8789"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Fast Statistical Parsing of Noun Phrases for Document Indexing [article]

Chengxiang Zhai
<span title="1997-02-12">1997</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper proposes a new probabilistic model for noun phrase parsing, and reports on the application of such a parsing technique to enhance document indexing.  ...  Information Retrieval (IR) is an important application area of Natural Language Processing (NLP) where one encounters the genuine challenge of processing large quantities of unrestricted natural language  ...  Acknowledgments The author is especially grateful to David A. Evans for his advising and supporting of this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cmp-lg/9702009v1">arXiv:cmp-lg/9702009v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7fgaozpdqfdctext7rcdvtyhzu">fatcat:7fgaozpdqfdctext7rcdvtyhzu</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-cmp-lg9702009/cmp-lg9702009.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> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/41/714184954ce1b4a47f7b7d7f09a99a0f56ea9577.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cmp-lg/9702009v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents [chapter]

Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we compare different retrieval models regarding their search performance on the full-text vs. only titles of documents.  ...  While there are many studies on information retrieval models using full-text, there are presently no comparison studies of full-text retrieval vs. retrieval only over the titles of documents.  ...  In the case of the standard IR datasets, where the human relevance judgments are provided, we generate the lists of the top-documents using the full-text and titles retrieval models, respectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-04257-8_30">doi:10.1007/978-3-030-04257-8_30</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wwxzjk57urcgrakcnwn4iecu7u">fatcat:wwxzjk57urcgrakcnwn4iecu7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430034045/https://dspace.stir.ac.uk/bitstream/1893/28014/1/C66-SalehEtAl-Performance%20Comparison%20of%20Ad-hoc%20Retrieval%20Models%20over%20Full-text%20vs.%20Titles%20of%20Documents.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/f0/98/f0984f98b5cf3967da3e88fdaced12272662cdfb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-04257-8_30"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Investigate the use of Anchor-Text and of Query-Document Similarity Scores to Predict the Performance of Search Engine

Abdulmohsen Almalawi, Rayed AlGhamdi, Adel Fahad
<span title="">2017</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
It evaluated the performance of the predictors based on 1) the correlation between the average precision (AP), 2) the precision at 10 (P@10) of the full text retrieved results, 3) a similarity score of  ...  It examined the use of anchor text-based document surrogates, and how their similarity to queries can be used to estimate query difficulty.  ...  We calculate the correlation between the predicted score and average precision of full-text and precision at 10 retrieved documents of full-text.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2017.081140">doi:10.14569/ijacsa.2017.081140</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fej6i76bybchlkp2wfjn2qst3y">fatcat:fej6i76bybchlkp2wfjn2qst3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719045022/http://thesai.org/Downloads/Volume8No11/Paper_40-Investigate_the_Use_of_Anchor_Text_and_of_Query_Document.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/1c/08/1c081df6cb5d1d98368c643b3c559b15c86dbfab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2017.081140"> <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>

TREC interactive with Cheshire II

Ray R Larson
<span title="">2001</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
This paper describes the UC Berkeley's participation in the TREC-6, 7 and 8 interactive track experiments.  ...  In TREC-7 and TREC-8 questionnaires were administered to gather information about basic demographic and searching experience, about each search, about each of the systems, and ®nally, about the user's  ...  The full-text window also included controls for stepping directly to the next or previous full-text document in the retrieval list.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0306-4573(00)00058-3">doi:10.1016/s0306-4573(00)00058-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wodufirpm5a2jenypwivvfw2eq">fatcat:wodufirpm5a2jenypwivvfw2eq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060525025410/http://www.scils.rutgers.edu:80/~muresan/IR/Docs/Articles/ipmLarson2001.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/59/bb/59bb3ad6b5f8fc30c68a3166ab72ef3e352e7d46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0306-4573(00)00058-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Looking back: On relevance, probabilistic indexing and information retrieval

Paul Thompson
<span title="">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
Although it is one of the most widely cited papers in the field of information retrieval, many researchers today may not be familiar with its influence.  ...  This was the first paper to present a probabilistic approach to information retrieval, and perhaps the first paper on ranked retrieval.  ...  Acknowledgements The author thanks M.E. Maron, I.J. Good, and R. Solomonoff for their comments on the state of information retrieval research around 1960.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2007.10.002">doi:10.1016/j.ipm.2007.10.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ijfndl2zhnbjvkmkwbz3uxic4e">fatcat:ijfndl2zhnbjvkmkwbz3uxic4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150919215413/http://yunus.hacettepe.edu.tr/~tonta/courses/spring2008/bby703/thompson-probabilistic-IR-maron-1960.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/67/c4/67c4aabef1d26cae184d093233154cc0be717f8a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2007.10.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Vocal Access to a Newspaper Archive: Design Issues and Preliminary Investigation [article]

Fabio Crestani
<span title="1998-12-10">1998</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents the design and the current prototype implementation of an interactive vocal Information Retrieval system that can be used to access articles of a large newspaper archive using a telephone  ...  The results of preliminary investigation into the feasibility of such a system are also presented.  ...  The experimentation reported in section 5.1 was carried out with the help of Anastasios Tombros.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/9812009v1">arXiv:cs/9812009v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rodwcww2o5dwvdlq24fb4lwzai">fatcat:rodwcww2o5dwvdlq24fb4lwzai</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-cs9812009/cs9812009.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> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d0/de/d0dee1b11cb7e649463044c26064a616d34add44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/9812009v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Generative probabilistic models for multimedia retrieval: query generation against document generation

T. Westerveld, A.P. de Vries
<span title="">2005</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fzgia24dyfgd3dfdi22qkc5wty" style="color: black;">IEE Proceedings - Vision Image and Signal Processing</a> </i> &nbsp;
This paper 1 presents the use of generative probabilistic models for multimedia retrieval.  ...  in a common probabilistic framework.  ...  For text retrieval, Lavrenko has experimented with document generation variants [24, Chapter 3], but with limited success.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/ip-vis:20045196">doi:10.1049/ip-vis:20045196</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jerqz4gx6vfubam6hsgnhjqih4">fatcat:jerqz4gx6vfubam6hsgnhjqih4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502205516/https://homepages.cwi.nl/~arjen/pub/ieevis05.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/36/f5/36f52bbef4f0de0709c3ddb3a06b7ca7598856cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/ip-vis:20045196"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Annotated suffix tree as a way of text representation for information retrieval in text collections

Dmitry Frolov
<span title="2015-12-31">2015</span> <i title="National Research University, Higher School of Economics (HSE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g4wlyjnzcjcztleppjetdxduxm" style="color: black;">Business Informatics</a> </i> &nbsp;
However, the quality of search may suffer if the fragments are too short. Therefore, the applicability of annotated suffix tree techniques for text retrieval problems is demonstrated.  ...  We used real data for computation experiments: an online store's xml-catalogs and collections of web pages (both in Russian) and a real user's queries from the Yandex. Wordstat service.  ...  In principle, the problem of document retrieval for a given query can be considered as a task of full-text search or even as a basic string matching problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17323/1998-0663.2015.4.63.70">doi:10.17323/1998-0663.2015.4.63.70</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zgm6inyzovczxjvufknujojxvu">fatcat:zgm6inyzovczxjvufknujojxvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721165008/https://bijournal.hse.ru/data/2016/03/18/1127231044/8.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/a9/f1/a9f11aa4f6bb92d03f3461a1e59805a2c37e93ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17323/1998-0663.2015.4.63.70"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Models for retrieval with probabilistic indexing

Norbert Fuhr
<span title="">1989</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
In this model, the indexing weight of a descriptor in a document is an estimate of the probability of relevance of this document with respect to queries using this descriptor.  ...  In addition to the probabilistic indexing weights, the RPI model provides the possibility of reIevance weighting of search terms.  ...  Retrieval experiments of this kind are described in Section 8.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/0306-4573(89)90091-5">doi:10.1016/0306-4573(89)90091-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lkf75n35k5hkvl4uqxzrsfalgy">fatcat:lkf75n35k5hkvl4uqxzrsfalgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809022305/http://ctp.di.fct.unl.pt/~jmag/wamse/papers/1989.Models%20for%20retrieval%20with%20probabilistic%20indexing.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/61/af/61af1deb7a3016cd0760aca0f0a38a4fecda3d61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/0306-4573(89)90091-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Cheshire II: Designing a next-generation online catalog

Ray R. Larson, Jerome McDonough, Paul O'Leary, Lucy Kuntz, Ralph Moon
<span title="">1996</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ujfuvcudl5hgbgfjgqnqzc2d6q" style="color: black;">Journal of the American Society for Information Science</a> </i> &nbsp;
The Cheshire II online catalog system was designed to provide a bridge between the realms of purely bibliographical information and the rapidly expanding full-text and multimedia collections available  ...  The system uses a client-server architecture with X window client communication with an SGML-based probabilistic search engine using the 239.50 information retrieval protocol.  ...  We plan to publish further descriptions of our findings on retrieval algorithms, use of SGML structured documents as database objects, user interfaces, and user reactions to the Cheshire II advanced online  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/(sici)1097-4571(199607)47:7&lt;555::aid-asi7&gt;3.0.co;2-t">doi:10.1002/(sici)1097-4571(199607)47:7&lt;555::aid-asi7&gt;3.0.co;2-t</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oux75vpq5jb5rhtryz7dvgao3a">fatcat:oux75vpq5jb5rhtryz7dvgao3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070626120556/http://cheshire.lib.berkeley.edu/jasis_paper96.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/49/fd49ba1db06f77057030f7ca8804725bab22f171.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/(sici)1097-4571(199607)47:7&lt;555::aid-asi7&gt;3.0.co;2-t"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
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