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Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text

Florian Mai, Lukas Galke, Ansgar Scherp
<span title="">2018</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kw2apmx5ynfyjf6jhs5gzrrx6e" style="color: black;">Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries - JCDL &#39;18</a> </i> &nbsp;
For (semi-)automated subject indexing systems in digital libraries, it is often more practical to use metadata such as the title of a publication instead of the full-text or the abstract.  ...  So far, the classification performance on titles is not competitive with the performance on the full-texts if the same number of training samples is used for training.  ...  We would like to thank Tamara Pianos and Tobias Rebholz from ZBW for providing helpful information on the EconBiz dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3197026.3197039">doi:10.1145/3197026.3197039</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/jcdl/MaiGS18.html">dblp:conf/jcdl/MaiGS18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q2pjdkiyuna7xorfgwqqdj2ssm">fatcat:q2pjdkiyuna7xorfgwqqdj2ssm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200509115847/http://pub.zbw.eu/dspace/bitstream/11108/369/1/2018_Mai_Galke_Deep_Learning.pdf;jsessionid=68FD1EFC3B9E994AC854971F5DA30B12" 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/2d/1c/2d1cabb57d6d39cb59526555a9a7e6c7df7e5353.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3197026.3197039"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation [article]

Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
<span title="2017-09-27">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The results show that across three of our four datasets, the performance of the classifications using only titles reaches over 90% of the quality compared to the classification performance when using the  ...  full-text.  ...  We thank Tobias Rebholz, Gabi Schädle, and Andreas Oskar Kempf from ZBW for valuable discussions in our expert workshops on how to use SKOS vocabularies and titles to annotate scientific papers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1705.05311v2">arXiv:1705.05311v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hv7v77mhsjgqtcu3j65fn2bv3m">fatcat:hv7v77mhsjgqtcu3j65fn2bv3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191016141204/https://arxiv.org/pdf/1705.05311v2.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/95/9b/959bd5b4b020db037d91da7655f5d24e05e56178.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1705.05311v2" 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>

SceneTextReg

Haojin Yang, Cheng Wang, Christian Bartz, Christoph Meinel
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lahlxihmo5fhzpexw7rundu24u" style="color: black;">Proceedings of the 2016 ACM on Multimedia Conference - MM &#39;16</a> </i> &nbsp;
The word recognizer achieves competitive result to state-of-the-art methods by only using synthetical training data.  ...  Our current implementation demonstrates a real time performance for recognizing scene text by using a standard laptop with webcam.  ...  For all other uses, contact the owner/author(s). metadata for indexing such video data, since the only searchable textual content is often the title given by the uploader, which is typically brief and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2964284.2973811">doi:10.1145/2964284.2973811</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mm/YangWBM16.html">dblp:conf/mm/YangWBM16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7xdaamahp5fujknkuvkxna5b5a">fatcat:7xdaamahp5fujknkuvkxna5b5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218131334/https://static.aminer.org/pdf/20170130/pdfs/mm/tgiw4bjoncfe8ut0lr2lgz6xobqkhmik.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/db/a0/dba0886b653d0628226e64d0024509f16a63c82b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2964284.2973811"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Thematic clustering of text documents using an EM-based approach

Sun Kim, W Wilbur
<span title="">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iasjcyzzyncgnohh3aitx65bhq" style="color: black;">Journal of Biomedical Semantics</a> </i> &nbsp;
Ontologies can be used to represent documents at a semantic level [8, 9] , but this concept-based model needs a well-defined database or a gold standard set for mapping words to pre-defined concepts.  ...  In this paper, we present a thematic clustering algorithm for text documents. Given text, subject terms are extracted and used for clustering documents in a probabilistic framework.  ...  We emphasize that a title is not necessarily a subject term and is used for the stability test only.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/2041-1480-3-s3-s6">doi:10.1186/2041-1480-3-s3-s6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23046528">pmid:23046528</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3465205/">pmcid:PMC3465205</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kfgdezmzibhtdno6tbiytl6q3e">fatcat:kfgdezmzibhtdno6tbiytl6q3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170820022033/https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/2041-1480-3-S3-S6?site=jbiomedsem.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/60/c6/60c639c92f85497254a48cb1182448263b851a30.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/2041-1480-3-s3-s6"> <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/PMC3465205" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

Shengwen Peng, Ronghui You, Hongning Wang, Chengxiang Zhai, Hiroshi Mamitsuka, Shanfeng Zhu
<span title="2016-06-15">2016</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;
Motivation: Medical Subject Headings (MeSH) indexing, which is to assign a set of MeSH main headings to citations, is crucial for many important tasks in biomedical text mining and information retrieval  ...  The MeSH side challenge is solved by using the 'learning to rank' framework of MeSHLabeler, which integrates various types of evidence generated from the new semantic representation.  ...  This work is very precious but clearly laborious, since to index an article, curators need to review the full text of the corresponding MEDLINE article, which is time consuming and prohibitively expensive  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btw294">doi:10.1093/bioinformatics/btw294</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27307646">pmid:27307646</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4908368/">pmcid:PMC4908368</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ne5k5aahvnd4lkecnrohw2vnpy">fatcat:ne5k5aahvnd4lkecnrohw2vnpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430192559/https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/218457/1/bioinformatics_btw294.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/27/19/27194e76c5cc6a48d29ed3758d39fdd85d572dcf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btw294"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908368" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing

Martin Toepfer, Christin Seifert
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kw2apmx5ynfyjf6jhs5gzrrx6e" style="color: black;">2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)</a> </i> &nbsp;
, that is, learning based on features, which can be transferred between di erent descriptors. eoretic and experimental results on economic titles and author keywords underline the relevance of the fusion  ...  Our ndings can help researchers and practitioners in digital libraries to choose appropriate methods for automatic indexing.  ...  full-texts to describe the content.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jcdl.2017.7991557">doi:10.1109/jcdl.2017.7991557</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/jcdl/ToepferS17.html">dblp:conf/jcdl/ToepferS17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rmfn6hkv4bdhdjhyhki7rsy72q">fatcat:rmfn6hkv4bdhdjhyhki7rsy72q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428061259/https://ris.utwente.nl/ws/files/80439274/Toefper2017_jcdl_subject_indexing_preprint.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/40/8b/408bfc009385f4326004a7aa97957a09140d7d6e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jcdl.2017.7991557"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Fusion architectures for automatic subject indexing under concept drift

Martin Toepfer, Christin Seifert
<span title="2018-05-15">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rq6hgsptgfekhbpyojon4oghca" style="color: black;">International Journal on Digital Libraries</a> </i> &nbsp;
Due to the rapid growth of scientific publications, machine learning based methods are required that assign subject descriptors automatically.  ...  Indexing documents with controlled vocabularies enables a wealth of semantic applications for digital libraries.  ...  Moreover, we would also like to thank the indexing experts of the ZBW for valuable discussions and their support in gathering data for the experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00799-018-0240-3">doi:10.1007/s00799-018-0240-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/esoeclykxbc57jhf6lelztip3i">fatcat:esoeclykxbc57jhf6lelztip3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505172400/https://ris.utwente.nl/ws/files/80439235/Toepfer2018_ijdl_subject_indexing_under_concept_drift_preprint.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/1b/3f/1b3fbd5f381c611e756b050fc59ec63299a48c36.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00799-018-0240-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping An Adaptive Methodology for Macroscopic Conceptual Analysis

Carlos Maureira, Hernan Pinto, Victor Yepes, Jose Garcia
<span title="">2021</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;
Deep Learning for image based inspection of concrete defects for example, where deep learning-based classifiers can reach 95.6% accuracy [16] . 4) Structure in AEC-AI knowledge domain Here we summarize  ...  The retrieved query results are then used to perform full-text analysis, as in stage (5) branching, on one hand.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3102215">doi:10.1109/access.2021.3102215</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kjkbddvbcrgp3k7api3j6pkgse">fatcat:kjkbddvbcrgp3k7api3j6pkgse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210811000026/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09505600.pdf?tp=&amp;arnumber=9505600&amp;isnumber=6514899&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/97/0c/970c1aaf8c18867a80793861133c5fcdbcdb1b7b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3102215"> <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>

Unsupervised Approaches for Textual Semantic Annotation, A Survey

Xiaofeng Liao, Zhiming Zhao
<span title="2019-08-30">2019</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eiea26iqqjcatatlgxdpzt637y" style="color: black;">ACM Computing Surveys</a> </i> &nbsp;
Link to publication Creative Commons License (see https://creativecommons.org/use-remix/cc-licenses): CC BY Citation for published version (APA):  ...  ACKNOWLEDGMENTS The authors thank the anonymous reviewers for their helpful comments, in addition to Cees de Laat, Paul Martin, Jayachander Surbiryala, and ZeShun Shi for useful discussions.  ...  ," and "media" (which commonly is not used to refer to simply text) in the title.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3324473">doi:10.1145/3324473</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fg5ucwtloze6ljdlh4hqjkqxfe">fatcat:fg5ucwtloze6ljdlh4hqjkqxfe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319065405/https://pure.uva.nl/ws/files/42605326/a66_liao.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/e5/19/e5190f1072a555c8294b4bdb17e1b5db786a681e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3324473"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Text Mining to Support Gene Ontology Curation and Vice Versa [chapter]

Patrick Ruch
<span title="2016-11-04">2016</span> <i title="Springer New York"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6v4flwr6afbfrmhdyu6xe3dyvm" style="color: black;">Msphere</a> </i> &nbsp;
A new type of QA system, socalled Deep QA which uses machine learning methods trained with curated contents, is thus emerging.  ...  To illustrate the high potential of this approach, we compare the performances of an automatic text categorizer and show a large improvement of +225 % in both precision and recall on benchmarked data.  ...  is performed on a collection of full-text articles like for instance in PubMed Central.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4939-3743-1_6">doi:10.1007/978-1-4939-3743-1_6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27812936">pmid:27812936</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qegtjj5flvbqpj4evpe3zttb24">fatcat:qegtjj5flvbqpj4evpe3zttb24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171016124921/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/98d/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjEwMDcvOTc4LTEtNDkzOS0zNzQzLTFfNi5wZGY%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/3c/a7/3ca7eac6ba1db782e246b0a1e2e0dea45458e12e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4939-3743-1_6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Unsupervised Graph-Based Tibetan Multi-Document Summarization

Xiaodong Yan, Yiqin Wang, Wei Song, Xiaobing Zhao, A. Run, Yang Yanxing
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
In order to promote the development of Tibetan text summarization, and to meet the needs of relevant researchers for high-quality Tibetan text summarization datasets, this paper manually constructs a Tibetan  ...  and integrate external corpus into graph to obtain the sentence semantic clustering.  ...  At present, the deep learning algorithm have achieved impressive performance on High-Resource Languages (HRL) datasets, which even surpassing human performance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.027301">doi:10.32604/cmc.2022.027301</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fqxgkck3jnebbgxt7xi6qvkq7e">fatcat:fqxgkck3jnebbgxt7xi6qvkq7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220520173435/https://www.techscience.com/cmc/v73n1/47809/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/3f/fd3f9e46ec0ab104a329ad2f14ffb51102da48dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.027301"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Text mining and semantics: a systematic mapping study

Roberta Akemi Sinoara, João Antunes, Solange Oliveira Rezende
<span title="2017-06-29">2017</span> <i title="Springer Nature America, Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vct5ya6gxbcelemee3tlxkwmiu" style="color: black;">Journal of the Brazilian Computer Society</a> </i> &nbsp;
The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned  ...  As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies.  ...  Acknowledgements The authors would like to thank the financial support of grant #132666/2016-2, National Council for Scientific and Technological Development (CNPq); grants #2013/14757-6, #2014/08996-0  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13173-017-0058-7">doi:10.1186/s13173-017-0058-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eckqk7otergndc332ga357ddmy">fatcat:eckqk7otergndc332ga357ddmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721175105/https://journal-bcs.springeropen.com/track/pdf/10.1186/s13173-017-0058-7" 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/f7/c1/f7c10e693c3923b788803fdd903ca7191f6a94cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13173-017-0058-7"> <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>

Deep Learning for Historical Document Analysis and Recognition—A Survey

Francesco Lombardi, Simone Marinai
<span title="2020-10-16">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/au3ye363lzbdroopx7rzfyv63m" style="color: black;">Journal of Imaging</a> </i> &nbsp;
Guided by these tasks, we go through the different input-output relations that are expected from the used deep learning approaches and therefore we accordingly describe the most used models.  ...  Nowadays, deep learning methods are employed in a broad range of research fields. The analysis and recognition of historical documents, as we survey in this work, is not an exception.  ...  [95] present an approach for full page text recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging6100110">doi:10.3390/jimaging6100110</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34460551">pmid:34460551</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8321201/">pmcid:PMC8321201</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nevh2ctshzfwtey4girgjtaftq">fatcat:nevh2ctshzfwtey4girgjtaftq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201119210239/https://res.mdpi.com/d_attachment/jimaging/jimaging-06-00110/article_deploy/jimaging-06-00110-v2.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/90/2f/902f34340fa015ef72927aa1b5a35189d008c3dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging6100110"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321201" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Neural Information Retrieval: A Literature Review [article]

Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen (+3 others)
<span title="2017-03-03">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Because these modern NNs often comprise multiple interconnected layers, this new NN research is often referred to as deep learning.  ...  In this work, we survey the current landscape of Neural IR research, paying special attention to the use of learned representations of queries and documents (i.e., neural embeddings).  ...  Additional Authors The following additional students at the University of Texas at Austin contributed indirectly to the writing of this literature review: Manu Agarwal, Edward Babbe, Anuparna Banerjee,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1611.06792v3">arXiv:1611.06792v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i2eqfj5l25epjcytgvifta4y4i">fatcat:i2eqfj5l25epjcytgvifta4y4i</a> </span>
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The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data

Leonidas Aristodemou, Frank Tietze
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f2ofnhzey5g7labk5kuei7km5m" style="color: black;">World Patent Information</a> </i> &nbsp;
In this paper, we contribute to the ongoing discussion on the use of intellectual property analytics methods, i.e artificial intelligence methods, machine learning and deep learning approaches, to analyse  ...  We hope research scholars and industrial users, may find this review helpful when searching for the latest research efforts pertaining to intellectual property analytics.  ...  Acknowledgement The authors would like to acknowledge support of the Engineering and Physical Sciences Research Council (EPSRC).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.wpi.2018.07.002">doi:10.1016/j.wpi.2018.07.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cawnmevwcna2zep7z6ikixwzgu">fatcat:cawnmevwcna2zep7z6ikixwzgu</a> </span>
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