Filters








3,503 Hits in 7.7 sec

Classification of Knowledge Representations using an Ontology-based Approach
english

Ruben Costa, Paulo Figueiras, Pedro M. N. Maló, Celson Lima
<span title="">2013</span> <i title="SCITEPRESS - Science and and Technology Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4bghlx2mf5fs3nq4gshtblxiza" style="color: black;">Proceedings of the International Conference on Knowledge Engineering and Ontology Development</a> </i> &nbsp;
ontologies with the addition of information presented in documents for unsupervised document classification.  ...  Preliminary results were collected using a clustering algorithm for document classification, which indicates that the proposed approach does improve the precision and recall of classifications.  ...  One possibility for accomplishing this may be the adoption of association rules learning algorithms, correlating the co-occurrence of terms within the document corpus.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0004541701840191">doi:10.5220/0004541701840191</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ic3k/CostaFML13.html">dblp:conf/ic3k/CostaFML13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3yykghv7gne6tbh42xmifb4wge">fatcat:3yykghv7gne6tbh42xmifb4wge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218154948/http://pdfs.semanticscholar.org/0dbd/159c06eaaca7625702b3fe3c297e29d5c607.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/0d/bd/0dbd159c06eaaca7625702b3fe3c297e29d5c607.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0004541701840191"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Classification of web resident sensor resources using Latent Semantic Indexing and ontologies

Wabo Majavu, Terence van Zyl, Tshilidzi Marwala
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xzeh7hnum5gsdmr4eprp3spizq" style="color: black;">Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics</a> </i> &nbsp;
The use of an Ontology, before indexing of terms, to create a semantic link between documents with relevant content improves automatic content extraction and document classification.  ...  The paper presents the use of Latent Semantic Indexing, an information retrieval mechanism, biased by combining Ontology concepts to the terms and objects, for improving the knowledge extraction from web  ...  The goal is to illustrate the term co-occurrence dependency in order for links to be established between the two sets of documents.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsmc.2008.4811329">doi:10.1109/icsmc.2008.4811329</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/smc/MajavuZM08.html">dblp:conf/smc/MajavuZM08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ze7cm7vgxzduhofc2e7of4ozfi">fatcat:ze7cm7vgxzduhofc2e7of4ozfi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100108062445/http://researchspace.csir.co.za:80/dspace/bitstream/10204/3250/1/Majavu_2008.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/e9/73/e9738aa6c7bc348cc9d62fbf11271b2b95340d9a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsmc.2008.4811329"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Word-Class Embeddings for Multiclass Text Classification [article]

Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
<span title="2019-11-26">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In supervised tasks such as multiclass text classification (the focus of this article) it seems appealing to enhance word representations with ad-hoc embeddings that encode task-specific information.  ...  We show empirical evidence that WCEs yield a consistent improvement in multiclass classification accuracy, using four popular neural architectures and six widely used and publicly available datasets for  ...  The authors' opinions do not necessarily reflect those of the European Commission. Thanks to NVidia for donating the two Titan GPUs on which many of the experiments discussed in this paper were run.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11506v1">arXiv:1911.11506v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/74dnzbkpqjcf7jk4whjfpxy4ii">fatcat:74dnzbkpqjcf7jk4whjfpxy4ii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200913135537/https://arxiv.org/pdf/1911.11506v1.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/4d/07/4d0797eaca4389fecd5a8261a0ece62b7b80bcf8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11506v1" 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>

Classification of speech acts in Public Software Tenders

Jorge Hochstetter, Claudio Diaz, Mauricio Dieguez, Jaime Diaz, Carlos Cares
<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The present study focuses on analyzing the texts of these documents to characterize them efficiently and explore a particular solution to the general problem known as "to bid or not to bid."  ...  In particular, our interest focused on speech acts and the ontology-based on speech acts for analyzing requirements.  ...  In practical terms, the paragraphs of these documents, classified by type of speech act, are our classification objects.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3165585">doi:10.1109/access.2022.3165585</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jnmo2bukifhmpk74xnnwzwqrxe">fatcat:jnmo2bukifhmpk74xnnwzwqrxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220614171534/https://ieeexplore.ieee.org/ielx7/6287639/9668973/09751058.pdf?tp=&amp;arnumber=9751058&amp;isnumber=9668973&amp;ref=" 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/9f/6c/9f6c5741dce5cc4903a54d3510d263cf9e2257e4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3165585"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Computational Analysis versus Human Intuition: A Critical Comparison of Vector Semantics with Manual Semantic Classification in the Context of Plains Cree

Daniel Dacanay, Antti Arppe, Atticus Harrigan
<span title="">2021</span> <i title="University of Colorado at Boulder"> Proceedings of the Workshop on Computational Methods for Endangered Languages </i> &nbsp;
We explore here an alternative to manual classification using a vector semantic method, which, although not yet at the level of human sophistication, can provide usable first-pass semantic classifications  ...  semantic resources unattainable for under-resourced language communities.  ...  classified with Rapid Words (Reule, 2018) , as well as for future trials of Rapid Words as a classification ontology in the vector method.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33011/computel.v1i.971">doi:10.33011/computel.v1i.971</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/se3rg7umb5c4vfa3rwwjxunywm">fatcat:se3rg7umb5c4vfa3rwwjxunywm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716123827/https://journals.colorado.edu/index.php/computel/article/download/971/883" 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/fe/69/fe69b64e72ce5a1bf6bd2421e11d40bd1a7d13b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33011/computel.v1i.971"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Audio-Based Semantic Concept Classification for Consumer Video

Keansub Lee, Daniel P. W. Ellis
<span title="">2010</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zcz4ey2iwffxtgaodtf5jtebmy" style="color: black;">IEEE Transactions on Audio, Speech, and Language Processing</a> </i> &nbsp;
Starting with a basic representation of each video clip as a sequence of mel-frequency cepstral coefficient (MFCC) frames, we experiment with three clip-level representations: single Gaussian modeling,  ...  We use a set of 25 overlapping semantic classes, chosen for their usefulness to users, viability of automatic detection and of annotator labeling, and sufficiency of representation in available video collections  ...  ACKNOWLEDGMENT Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2009.2034776">doi:10.1109/tasl.2009.2034776</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ifwa7s2mvc6zleh5kip2hxykm">fatcat:4ifwa7s2mvc6zleh5kip2hxykm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706091808/http://www.ee.columbia.edu/~dpwe/pubs/LeeE10-semantic.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/b2/2a/b22a0021caeae02711d51ea697e9294cfaecca38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2009.2034776"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Improving classification in protein structure databases using text mining

Antonis Koussounadis, Oliver C Redfern, David T Jones
<span title="">2009</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5zrklrhlzhtdorf4rk4rmeo3i" style="color: black;">BMC Bioinformatics</a> </i> &nbsp;
Testing this classification scheme on a dataset of 'borderline' protein domains that lack significant sequence or structure similarity to classified proteins showed that although, as expected, the structural  ...  The method is based on the assumption that textual similarity between sets of documents relating to proteins reflects biological function similarities and can be exploited to make classification decisions  ...  and Biotechnology for Health), grant number: LSHG-CT-2003-503265.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2105-10-129">doi:10.1186/1471-2105-10-129</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19416501">pmid:19416501</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2688513/">pmcid:PMC2688513</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ai2e6ep5na33mqfrfkk5snezi">fatcat:7ai2e6ep5na33mqfrfkk5snezi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830121253/https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-10-129?site=http://bmcbioinformatics.biomedcentral.com" 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/f8/b0/f8b01b74cbcbfa71e4b01136c4ac5761fcb1e00d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2105-10-129"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688513" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Signal and noise: social construction and representation

Emma Tonkin
<span title="2007-11-16">2007</span> <i title="University of Washington Libraries"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rnocwf753ff2fazvnyyycsiwo4" style="color: black;">Advances in Classification Research Online</a> </i> &nbsp;
context -and examine a few approaches used for text-based search-and-retrieval and their relevance to tag corpora.  ...  E Tonkin, UKOLN e.tonkin@ukoln.ac.uk Abstract This paper attempts to draw a quick sketch of some of the research that relates to the state of social tagging research today.  ...  The word space model approach in general uses string co-occurrence to construct high-dimensional semantic vector spaces, with words represented as context vectors for computing semantic similarity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7152/acro.v18i1.12873">doi:10.7152/acro.v18i1.12873</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/frt5xcuupzdpzdosmvkrigefcq">fatcat:frt5xcuupzdpzdosmvkrigefcq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721080723/https://journals.lib.washington.edu/index.php/acro/article/download/12873/11371" 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/5b/f3/5bf3a1efd3d5d778ad993085acc814b5eae6473b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7152/acro.v18i1.12873"> <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>

Multi-word Entity Classification in a Highly Multilingual Environment

Sophie Chesney, Guillaume Jacquet, Ralf Steinberger, Jakub Piskorski
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5cqgnrgxwfekfp5byjimbel7eq" style="color: black;">Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)</a> </i> &nbsp;
We also want to thank the IC1207 COST Action PARSEME and SIGLEX for their endorsement and support, as well as the EACL 2017 organizers.  ...  We would like to thank the members of the program committee for the timely reviews, authors for their valuable contributions, shared task organizers, annotators, and system developers for their hard work  ...  Acknowledgments Acknowledgements This research was carried out as part of project FF2014-52740-P, Cognitive and Neurological Bases for Terminology-enhanced Translation (CONTENT), funded by the Spanish  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-1702">doi:10.18653/v1/w17-1702</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mwe/ChesneyJSP17.html">dblp:conf/mwe/ChesneyJSP17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bv7aavgth5eurmzuphuowtuuhq">fatcat:bv7aavgth5eurmzuphuowtuuhq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309060746/https://www.aclweb.org/anthology/W17-17.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-1702"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text

Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-aryamontri, Andrew Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, Luisa Castagnoli, Gianni Cesareni (+22 others)
<span title="">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5zrklrhlzhtdorf4rk4rmeo3i" style="color: black;">BMC Bioinformatics</a> </i> &nbsp;
This is due to the variability of method term mentions, errors resulting from pre-processing of articles provided as PDF files, and the heterogeneity and different granularity of method term concepts encountered  ...  in the ontology.  ...  We would like to thank the following publishers for allowing us to use their articles for this task: Elsevier, Wiley, NPG, Rockefeller University Press, American Society for Biochemistry and Molecular  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2105-12-s8-s3">doi:10.1186/1471-2105-12-s8-s3</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22151929">pmid:22151929</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3269938/">pmcid:PMC3269938</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vireubnikbhgjg2y2fskgqvgse">fatcat:vireubnikbhgjg2y2fskgqvgse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430143721/https://www.zora.uzh.ch/id/eprint/58309/1/1471-2105-12-S8-S3.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/0e/dd/0edd604c80984b473a5220d40d2d2cfeb391923c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2105-12-s8-s3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269938" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Harnessing Folksonomies for Resource Classification [article]

Arkaitz Zubiaga
<span title="2012-04-29">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Therefore, we believe that the contributions in this work are of utmost interest for future researchers in the field, as well as for the scientific community in order to better understand these systems  ...  In this thesis, we deal with the utilization of these user-provided tags in search of the most accurate classification of resources as compared to expert-driven categorizations.  ...  The vectors representing the documents are composed of the remaining terms, where each dimension corresponds to a term.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.6521v1">arXiv:1204.6521v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7wgyv5wy6zat3khv5mhu3bolmi">fatcat:7wgyv5wy6zat3khv5mhu3bolmi</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-1204.6521/1204.6521.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.6521v1" 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>

Machine learning of syntactic parse trees for search and classification of text

Boris Galitsky
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/74vjt6olkvfqpdykhombmbjp74" style="color: black;">Engineering applications of artificial intelligence</a> </i> &nbsp;
We analyze semantic features of such similarity measure and compare it with semantics of traditional anti-unification of terms.  ...  Generalization of syntactic parse tree as a syntactic similarity measure is defined as the set of maximum common subtrees and performed at a level of paragraphs, sentences, phrases and individual words  ...  Acknowledgements We are grateful to our colleagues SO Kuznetsov, B Kovalerchuk and others for valuable discussions, to the anonymous reviewers for their suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.engappai.2012.09.017">doi:10.1016/j.engappai.2012.09.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2o7p5nhixbb2zl363ppqx4jqgq">fatcat:2o7p5nhixbb2zl363ppqx4jqgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140711213236/http://robingets.me:80/robinlabs/html/assets/whitepapers/mlSentParseTreeSearchClassifProblems_EAAI_R2.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/13/3d/133da81e614f081b53f7ac4eaefac14ec767bfb3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.engappai.2012.09.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Automatic semantic classification of scientific literature according to the hallmarks of cancer

Simon Baker, Ilona Silins, Yufan Guo, Imran Ali, Johan Högberg, Ulla Stenius, Anna Korhonen
<span title="2015-10-09">2015</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
Availability and implementation: The corpus of hallmark-annotated PubMed abstracts and the software for classification are available at:  ...  Since new research depends crucially on existing knowledge, technology for semantic classification of scientific literature according to the hallmarks of cancer could greatly support literature review,  ...  Conclusions We have introduced a TM technique capable of large-scale semantic classification of PubMed literature according to the evidence they provide for the hallmarks of cancer (Hanahan and Weinberg  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btv585">doi:10.1093/bioinformatics/btv585</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26454282">pmid:26454282</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nimggyveunakdfuyxcnco3cvbq">fatcat:nimggyveunakdfuyxcnco3cvbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726225833/https://watermark.silverchair.com/btv585.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAb4wggG6BgkqhkiG9w0BBwagggGrMIIBpwIBADCCAaAGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMDaHendHz0b9WZr37AgEQgIIBcZE83YUwvPP5HWRaH-muUlJevQ-jJMVSTg4TreCkwZFb3a4QI_0pgHDP_u-1P6Z1IpsKkSz3bE1B8Bk3mVQ5jYJWi3t8cHyMJuPMO8cRzBHJFkSXV-FAWxsBbD5UUqdQAF6TmrQ8tJl1EzHAtvrW3AXrbHd3Bk48ZbTGuy_TRXN_nYEh_wu2QDkY7dYLclAALXt6Wqf6ipj1wwTxbacmRcHs70Y_MBt6hWklXquK04Px7yB4vDKYXWIPoVdQdKgZdGqXAeHqI59nfgtO-e8xuM6NUc8nW5AjlUyFupkGXiWGWwwQ55qOMvwyE62XPXYx84OJjrY6RM11SjxhNiMrj9o77998m1Mgn5DMrbkGjwXr2J_kz4_9lF0km2ljR_0WoaQFdx08kSz_Ml12HR3HylRog8LjT6dc3vtZU7wP0HpSk7hjEA9mQLmKmBwbwHTxp7XKPxFBcXxPMetk7azATFX3R92U7yP0TUQk6ZnjyBUGtQ" 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/c9/e2/c9e2ed6200fa6e5c30673e6f490d1b1866ad605d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btv585"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification

Igor Vatolkin, Cory McKay
<span title="">2022</span> <i title="Ubiquity Press, Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/56plawofgfhlhhif5r33awl4v4" style="color: black;">Transactions of the International Society for Music Information Retrieval</a> </i> &nbsp;
ontologies of varied class similarity.  ...  on six modalities: audio signals, semantic tags inferred from the audio, symbolic MIDI representations, album cover images, playlist co-occurrences, and lyric texts.  ...  The experiments were carried out on the Linux HPC cluster at TU Dortmund (LiDO3), partially funded in the course of the Large-Scale Equipment Initiative by the German Research Foundation (DFG) as grant  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5334/tismir.67">doi:10.5334/tismir.67</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/glhczbyvfjgabmergrixspzs3m">fatcat:glhczbyvfjgabmergrixspzs3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220210011631/https://transactions.ismir.net/articles/10.5334/tismir.67/galley/118/download/" 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/06/b0/06b0a0710126e006f5f3df0cb7cd77ee3b6eef3a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5334/tismir.67"> <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 classification based framework for quantitative description of large-scale microarray data

Dipen P Sangurdekar, Friedrich Srienc, Arkady B Khodursky
<span title="2006-04-20">2006</span> <i title="BMC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bzsiicmhvczjnsm7jbog7ysaa" style="color: black;">Genome Biology</a> </i> &nbsp;
Genome-wide surveys of transcription depend on gene classifications for the purpose of data interpretation.  ...  evaluate conditions in terms of gene-class activity.  ...  Classification of unlabeled data based on a training set of query genes is the basis for many supervised classification techniques, like support vector machines [14, 15] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/gb-2006-7-4-r32">doi:10.1186/gb-2006-7-4-r32</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16626502">pmid:16626502</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC1557986/">pmcid:PMC1557986</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3tugikudqvcwvjeklkp533gmba">fatcat:3tugikudqvcwvjeklkp533gmba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427161011/https://genomebiology.biomedcentral.com/track/pdf/10.1186/gb-2006-7-4-r32" 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/80/c4/80c40038530540acdfce9bd9a0c0d050e1d7096b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/gb-2006-7-4-r32"> <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/PMC1557986" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 3,503 results