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Document Categorization using Multilingual Associative Networks based on Wikipedia

Niels Bloom, Mariët Theune, Franciska De Jong
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 24th International Conference on World Wide Web - WWW &#39;15 Companion</a> </i> &nbsp;
In this research we combine monolingual associative networks based on Wikipedia to create a larger, multilingual associative network, using the cross-lingual connections between Wikipedia articles.  ...  Associative networks are a connectionist language model with the ability to categorize large sets of documents.  ...  In Section 2 we describe our method for categorizing libraries based on associative networks and in Section 3 we detail how this method can be extended to deal with multilingual document sets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2743003">doi:10.1145/2740908.2743003</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/BloomTJ15.html">dblp:conf/www/BloomTJ15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gfgvykdmabbf5kswh3livgrd44">fatcat:gfgvykdmabbf5kswh3livgrd44</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160522231441/http://www.www2015.it/documents/proceedings/companion/p841.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/9e/1f/9e1fd58b6af1f6b63731486374eba32dfc48cf6b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2743003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Search Query Categorization at Scale

Michal Laclavik, Marek Ciglan, Sam Steingold, Martin Seleng, Alex Dorman, Stefan Dlugolinsky
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 24th International Conference on World Wide Web - WWW &#39;15 Companion</a> </i> &nbsp;
In this paper, we present a novel, fast and scalable approach to categorization of search queries based on a limited intermediate corpus: we use Wikipedia as the knowledge base.  ...  The presented solution relies on two steps: first a query is mapped to the relevant Wikipedia pages; second, the retrieved documents are categorized into a given taxonomy.  ...  Here, we propose a new way of extracting n-grams based on Wikipedia link similarity and utilizing them for document categorization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2741995">doi:10.1145/2740908.2741995</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/LaclavikCSSDD15.html">dblp:conf/www/LaclavikCSSDD15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qlqih7dkhbdcbo4c2rg6koy4se">fatcat:qlqih7dkhbdcbo4c2rg6koy4se</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150918172025/http://www.www2015.it/documents/proceedings/companion/p1281.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/91/01/9101ad75baafbe676cb31ffabf4312a035af2d5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2741995"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Content-based Text Categorization using Wikitology [article]

Muhammad Rafi, Sundus Hassan, Mohammad Shahid Shaikh
<span title="2012-08-17">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Traditionally, vector-based models have been used for computing the document similarity. The vector-based models represent several features present in documents.  ...  In this paper, we define a semantic similarity measure based on documents represented in topic maps.  ...  Text categorization is defined as an activity of assigning a document to one or more pre-defined categories, based on content of the document [7] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1208.3623v1">arXiv:1208.3623v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ol22a5el5vdivlintokuagiun4">fatcat:ol22a5el5vdivlintokuagiun4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824222229/https://arxiv.org/ftp/arxiv/papers/1208/1208.3623.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/62/f3/62f3ee11b866b2fad5c7b56dc0019959250f50a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1208.3623v1" 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>

The Wikipedia XML corpus

Ludovic Denoyer, Patrick Gallinari
<span title="2006-06-01">2006</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;
In this article, we describe a set of XML collections based on Wikipedia.  ...  on the Portals of wikipedia): a document belongs to one or more categories This corpus can be used to compare categorization algorithms and it is described in table 4.  ...  Conclusion This technical report describes XML collections based on Wikipedia and developed for Structured Information Retrieval, Structured Machine Learning and Natural Language processing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1147197.1147210">doi:10.1145/1147197.1147210</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yawgcuzx6rgl5csrav57ldosle">fatcat:yawgcuzx6rgl5csrav57ldosle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809102647/http://www-connex.lip6.fr/~denoyer/homepage/publications/wikipediaXML.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/03/f5/03f5c49449cb0aec8cfd51714316dc52b67e02dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1147197.1147210"> <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>

Improving Text Categorization with Semantic Knowledge in Wikipedia

Xiang WANG, Yan JIA, Ruhua CHEN, Hua FAN, Bin ZHOU
<span title="">2013</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xosmgvetnbf4zpplikelekmdqe" style="color: black;">IEICE transactions on information and systems</a> </i> &nbsp;
to enrich Wikipedia-concept-based document representation.  ...  In this paper, we mapped document texts to Wikipedia concepts and used the Wikipediaconcept-based document representation method to take the place of traditional BOW model for text classification.  ...  Wikipedia-Concept-Based Document Representation In this Section, we introduce a document representation method which is based on Wikipedia concepts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.e96.d.2786">doi:10.1587/transinf.e96.d.2786</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q5wts6b4nfhvti2v6nskggj2ju">fatcat:q5wts6b4nfhvti2v6nskggj2ju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181031195549/https://www.jstage.jst.go.jp/article/transinf/E96.D/12/E96.D_2786/_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/4b/54/4b54f65265bdb7f0e2f5eee344f66c9c80f58e36.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.e96.d.2786"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

TagTheWeb: Using Wikipedia Categories to Automatically Categorize Resources on the Web [chapter]

Jerry Fernandes Medeiros, Bernardo Pereira Nunes, Sean Wolfgand Matsui Siqueira, Luiz André Portes Paes Leme
<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;
, based on the generation of a fingerprint through the semantic relation between nodes of the Wikipedia Category Graph.  ...  Identifying topics associated with a set of documents is a common task for many applications and can be used to improve various tasks involving documents on the Web, such as search, retrieval, recommendation  ...  The primary purpose of this research is to create a general-purpose classification tool based on Wikipedia Categorization scheme that can categorize text-based content on the Web, for instance, scientific  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_29">doi:10.1007/978-3-319-98192-5_29</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ebepshfn3bax3pqzqp7npfw4ba">fatcat:ebepshfn3bax3pqzqp7npfw4ba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190303131813/http://pdfs.semanticscholar.org/ae10/9c2ff098af48d7cb6927a1b38810161419f1.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/ae/10/ae109c2ff098af48d7cb6927a1b38810161419f1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_29"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Comparing SVM and Naive Bayes classifiers for text categorization with Wikitology as knowledge enrichment [article]

Sundus Hassan, Muhammad Rafi, Muhammad Shahid Shaikh
<span title="2012-02-18">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Many experiments have been carried out to enhance text categorization by adding background knowledge to the document using knowledge repositories like Word Net, Open Project Directory (OPD), Wikipedia  ...  The activity of labeling of documents according to their content is known as text categorization.  ...  RELATED WORK Many researchers shown text enriching method facilitates text categorization by adding semantic background knowledge from knowledge bases like Word Net, Wikipedia, Open Project Directory  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1202.4063v1">arXiv:1202.4063v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wddhmrs67nazfbdtsmvkbfvfr4">fatcat:wddhmrs67nazfbdtsmvkbfvfr4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191025233858/https://arxiv.org/pdf/1202.4063v1.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/50/1c/501cfa39b2d94443ddbf4bfb7bb82c9845fa789c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1202.4063v1" 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>

Wikipedia-Based Kernels for Text Categorization

Zsolt Minier, Zalan Bodo, Lehel Csato
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tzwgkejc6bctzcy4z5ecpb2vlq" style="color: black;">Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007)</a> </i> &nbsp;
Based on the work of Gabrilovich and Markovitch [6], we incorporate Wikipedia articles into the system to give word distributional representation for documents.  ...  In recent years several models have been proposed for text categorization.  ...  In this paper we study the use of Wikipedia-derived knowledge in enhancing text categorization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/synasc.2007.8">doi:10.1109/synasc.2007.8</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/synasc/MinierBC07.html">dblp:conf/synasc/MinierBC07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zp7efr5lmbadjb5pswvzgg4bhe">fatcat:zp7efr5lmbadjb5pswvzgg4bhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111003184320/http://datamin.ubbcluj.ro/docs/2007/synasc2007.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/31/38/313872ceeb3d4e6807a19068c28094efa8e5112e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/synasc.2007.8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Wikipedia-based Semantic Interpretation for Natural Language Processing

E. Gabrilovich, S. Markovitch
<span title="2009-03-30">2009</span> <i title="AI Access Foundation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ax4efcwajcgvidb6hcg6mwx4a" style="color: black;">The Journal of Artificial Intelligence Research</a> </i> &nbsp;
We explicitly represent the meaning of any text in terms of Wikipedia-based concepts.  ...  We evaluate the effectiveness of our method on text categorization and on computing the degree of semantic relatedness between fragments of natural language text.  ...  Lee and Brandon Pincombe for making available their document similarity data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1613/jair.2669">doi:10.1613/jair.2669</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mwcky2jqx5e6zimhzgsbh5rffa">fatcat:mwcky2jqx5e6zimhzgsbh5rffa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151025143058/http://www.aaai.org/Papers/JAIR/Vol34/JAIR-3413.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/91/7d/917d7721f65110c00a1c5cb003a05fa6503ea8d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1613/jair.2669"> <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>

Semi-supervised Categorization of Wikipedia Collection by Label Expansion [chapter]

Boris Chidlovskii
<span title="">2009</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;
We address the problem of categorizing a large set of linked documents with important content and structure aspects, for example, from Wikipedia collection proposed at the INEX XML Mining track.  ...  Due to the sparsity of the link based structure of Wikipedia, we apply the spectral and graph-based techniques developed in the semi-supervised machine learning.  ...  Conclusion We applied the graph-based semi-supervised methods to the categorization challenge defined on Wikipedia collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-03761-0_42">doi:10.1007/978-3-642-03761-0_42</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/osbroim5mbepbe4qklojmldbbm">fatcat:osbroim5mbepbe4qklojmldbbm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812232947/http://www.europe.naverlabs.com//content/download/16664/118683/file/2008-078.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/0f/9e/0f9e780762409131568f1fff6536063ae7b4344a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-03761-0_42"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Query dependent pseudo-relevance feedback based on wikipedia

Yang Xu, Gareth J.F. Jones, Bin Wang
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;09</a> </i> &nbsp;
Intuitively, Wikipedia can be seen as a large, manually edited document collection which could be exploited to improve document retrieval effectiveness within PRF.  ...  Specifically, we classify TREC topics into three categories based on Wikipedia: 1) entity queries, 2) ambiguous queries, and 3) broader queries.  ...  CONCLUSION In this paper, we have explored utilization of Wikipedia in PRF. In this work TREC topics are categorized into three types based on Wikipedia.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1571941.1571954">doi:10.1145/1571941.1571954</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/XuJW09.html">dblp:conf/sigir/XuJW09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w6ltztozpfdalpgustngjalaie">fatcat:w6ltztozpfdalpgustngjalaie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120526160155/http://doras.dcu.ie:80/16184/1/Query_Dependent_Pseudo-Relevance_Feedback_based_on_Wikipedia.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/c3/d4/c3d4c5d6a5d7ad5ff9bcc75827f510a2df9f4086.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1571941.1571954"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Spectral Clustering Wikipedia Keyword-Based Search Results

Julian Szymański, Tomasz Dziubich
<span title="2017-01-31">2017</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t4zwwbshrrfd3hjbg4s3bysm7q" style="color: black;">Frontiers in Robotics and AI</a> </i> &nbsp;
The paper summarizes our research in the area of unsupervised categorization of Wikipedia articles.  ...  The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this repository  ...  In the experiments, we use Wikipedia dumps 1 to create the dataset for evaluation methods for automatic document categorization (Szymański, 2011a,b) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frobt.2016.00078">doi:10.3389/frobt.2016.00078</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fpjavj2qhbfanbyguqozzatzdu">fatcat:fpjavj2qhbfanbyguqozzatzdu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171007061844/http://publisher-connector.core.ac.uk/resourcesync/data/Frontiers/pdf/911/aHR0cDovL2pvdXJuYWwuZnJvbnRpZXJzaW4ub3JnL2FydGljbGUvMTAuMzM4OS9mcm9idC4yMDE2LjAwMDc4L3BkZg%3D%3D.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/6b/70/6b70b07db67521a44ee815c0f5ae6d90521d4f55.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frobt.2016.00078"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Supporting Contextualized Information Finding with Automatic Excerpt Categorization

Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
Our approach relies on semantic enhanced annotations and the categorization schema of Wikipedia.  ...  Wikipedia, the largest online reference Website is beginning to witness this phenomenon. Learners often turn to Wikipedia in order to learn facts regarding different subjects.  ...  These strategies begin with training set of manually (positive examples of classification) annotated documents. Based on these sets, algorithms find existing patterns in given documents.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2014.08.136">doi:10.1016/j.procs.2014.08.136</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2tyd3qa6ajc2tl46eorz65pv4m">fatcat:2tyd3qa6ajc2tl46eorz65pv4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170925170701/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/2cf/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTg3NzA1MDkxNDAxMTAxNg%3D%3D.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/6e/18/6e189aea6ad7faefbe200964bd4a5c94ca03bcc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2014.08.136"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Self–Organizing Map Representation for Clustering Wikipedia Search Results [chapter]

Julian Szymański
<span title="">2011</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;
The categorization method has been used in implementation of the system that clusters results of keyword-based search in Polish Wikipedia.  ...  The experiments have been performed on selected sub-set of Wikipedia.  ...  Application and Future Directions In the article we present the approach for documents categorization based on terms VSM used for representation of Wikipedia articles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20042-7_15">doi:10.1007/978-3-642-20042-7_15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rldsrirsqfaczmpbajjzq3kch4">fatcat:rldsrirsqfaczmpbajjzq3kch4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321082833/http://julian.eti.pg.gda.pl/publikacje/aciids_11.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/35/9e/359e51e0b1bae79db154c9735d136d56b76a1104.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20042-7_15"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Deriving a categorical vector space model for web page recommendations based on Wikipedia's content

Pei-Chia Chang, Luz M. Quiroga
<span title="">2010</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;
We augment Wikipedia's categorization system with keywords extracted from Wikipedia' pages. By applying keyword matching, any web page can be mapped into WikiVSM.  ...  This is possibly due to features of Wikipedia and our augmentation. Keywords Vector Space Model, Wikipedia, Web page recommendations  ...  INTRODUCTION VSM, a classical model to compare document similarity based on terms, often produces a high-dimensional matrix with sparse data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/meet.14504701442">doi:10.1002/meet.14504701442</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ehjf5xaw5ngatfnfkfrgxs3eyy">fatcat:ehjf5xaw5ngatfnfkfrgxs3eyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20101120122944/http://asis.org/asist2010/proceedings/proceedings/ASIST_AM10/submissions/442_Final_Submission.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/d9/f6/d9f65ef1654bc7fd9622e58959e67f9dcce13cf2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/meet.14504701442"> <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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