Filters








5,766 Hits in 7.8 sec

A scalable machine-learning approach for semi-structured named entity recognition

Utku Irmak, Reiner Kraft
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 19th international conference on World wide web - WWW &#39;10</a> </i> &nbsp;
In this paper, we study this problem and propose a novel threelevel bootstrapping framework for the detection of semi-structured entities.  ...  Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories.  ...  Acknowledgment We are grateful to Vadim von Brzeski and Omid Rouhani-Kalleh for their help in the experimental evaluation. We would like to thank John Thrall and Kun Liu for their helpful suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1772690.1772738">doi:10.1145/1772690.1772738</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/IrmakK10.html">dblp:conf/www/IrmakK10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ehled2fptzamzgkckomjaiwz6y">fatcat:ehled2fptzamzgkckomjaiwz6y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100611060152/http://cis.poly.edu/~uirmak/publications/bootstrap.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/7d/05/7d0558f7c7ea656702a509a9ef8523672f93dd14.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1772690.1772738"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Big Data and Named Entity Recognition Approaches for Urdu Language

Qudsia Jamil, Muhammad Rehman Zafar
<span title="2018-04-13">2018</span> <i title="European Alliance for Innovation n.o."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y4l63sf5djh4zowjsurq6fija4" style="color: black;">EAI Endorsed Transactions on Scalable Information Systems</a> </i> &nbsp;
Named Entity Recognition (NER) is an essential component of information extraction in the field of Natural Language Processing (NLP).  ...  This paper specifically addresses the different approaches to NER and explore the existing work for NER in Urdu language.  ...  Statistical Approach Statistical approach uses machine learning techniques to implement a linguist in a semi-automatic way instead of constructing it manually.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/eai.13-4-2018.154469">doi:10.4108/eai.13-4-2018.154469</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xwhafqzyfjbs3a2g3olholwp5e">fatcat:xwhafqzyfjbs3a2g3olholwp5e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180507173120/http://eudl.eu/pdf/10.4108/eai.13-4-2018.154469" 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/bf/17/bf17c5f2e8b3c7abf7641417c3e6ce3af238d4dc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/eai.13-4-2018.154469"> <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>

Information Extraction from Multifaceted Unstructured Big Data

<span title="2019-09-17">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
The heterogeneity, complexity, lack of structured information, poor quality and scalability of unstructured data generates difficulties in adapting traditional information extraction techniques.  ...  Also, these applications are contributing to generate big data deluge where a variety of data necessitate the industries to use advanced IT approaches. 95% of the digital universe is unstructured data.  ...  Rule-based methods for NER uses lexico-syntactic patterns and semantic constraints to identify the occurrence of similar entities whereas learning based methods uses machine learning to extract named entities  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b1074.0882s819">doi:10.35940/ijrte.b1074.0882s819</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iwpaamsftrgztduhgfkbmgo3du">fatcat:iwpaamsftrgztduhgfkbmgo3du</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208050941/https://www.ijrte.org/wp-content/uploads/papers/v8i2S8/B10740882S819.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/8c/c2/8cc2ce6e5877d72f4e47bbfad5d14b0f1dca1275.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b1074.0882s819"> <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 learning: a brief review

Y C A Padmanabha Reddy, P Viswanath, B Eswara Reddy
<span title="2018-02-09">2018</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
Semi-supervised learning addresses this problem and act as a half way between supervised and unsupervised learning.  ...  The paper also addresses the issue of scalability and applications of Semi-supervised learning.  ...  Acknowledgement This work is partly supported by a UGC-SERO Minor Research Project with Reference No. MRP-4609/14.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i1.8.9977">doi:10.14419/ijet.v7i1.8.9977</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qex5q57idzcsdlyhjnsw4zvbwq">fatcat:qex5q57idzcsdlyhjnsw4zvbwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721040810/https://www.sciencepubco.com/index.php/ijet/article/download/9977/3505" 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/0b/2a/0b2a24e90e55fcf06280a39f2e7a6051c70947cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i1.8.9977"> <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>

Mining Protein Interactions from Text Using Convolution Kernels [chapter]

Ramanathan Narayanan, Sanchit Misra, Simon Lin, Alok Choudhary
<span title="">2010</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;
In this paper, we describe a scalable hierarchical Support Vector Machine(SVM) based framework to efficiently mine protein interactions with high precision.  ...  The convolution kernel technique identifies sentences describing interactions with a precision of 95% and a recall of 92%, yielding significant improvements over previous machine learning techniques.  ...  Acknowledgements This work was supported in part by NSF grants CNS-0551639, IIS-0536994, NSF HECURA CCF-0621443, and NSF SDCI OCI-0724599 and DOE SCIDAC-2: Scientific Data Management Center for Enabling  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-14640-4_9">doi:10.1007/978-3-642-14640-4_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7eo7uky5ivee5htr5rgvbdy5ka">fatcat:7eo7uky5ivee5htr5rgvbdy5ka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110331180615/http://cucis.ece.northwestern.edu/publications/pdf/NarMis10.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/50/0c/500c39df829fc6cc84654111b44433412f1c9e9a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-14640-4_9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances [article]

Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
<span title="2016-06-26">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Unlike existing reviews covering a holistic view on BioIE, this review focuses on mainly recent advances in learning based approaches, by systematically summarizing them into different aspects of methodological  ...  In addition, we dive into open information extraction and deep learning, two emerging and influential techniques and envision next generation of BioIE.  ...  +entity+detection OR named+entity+recognition OR relation+extraction OR event+extraction)".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1606.07993v1">arXiv:1606.07993v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7d5om7zxxzhoviiriasrfwg3xi">fatcat:7d5om7zxxzhoviiriasrfwg3xi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191024193732/https://arxiv.org/pdf/1606.07993v1.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/e8/f7/e8f7e63ef52e6c19a0933cf7d920fcc2ad60eab7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1606.07993v1" 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>

Automated Sequence Tagging: Applications in Financial Hybrid Systems [chapter]

Peter Hampton, Hui Wang, William Blackburn, Zhiwei Lin
<span title="">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/46x3pqkj25d2fjn2giaqjrhvne" style="color: black;">Research and Development in Intelligent Systems XXXIII</a> </i> &nbsp;
In this paper we describe an approach for automatic entity classification for reporting based applications that make sense of unstructured data using a hybrid system.  ...  As unstructured information grows, the need to disambiguate structure for machine processing remains an attractive research goal in the financial profession.  ...  Hybrid systems are an attractive alternative for Named Entity Recognition in a Financial setting, as it is easily adoptable, scalable, and has transparent debugging features compared to machine learning  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47175-4_22">doi:10.1007/978-3-319-47175-4_22</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sgai/Hampton0B016.html">dblp:conf/sgai/Hampton0B016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iulyipy2kfhnbbkiwktmwuqd5a">fatcat:iulyipy2kfhnbbkiwktmwuqd5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225215328/http://pdfs.semanticscholar.org/74f7/3310209bbc3bdc16c7f891f04e8556b99970.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/74/f7/74f73310209bbc3bdc16c7f891f04e8556b99970.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47175-4_22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations

Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Hyeon Park, Nak Choi, Keun Ryu
<span title="">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5aubiwi6v5beng6iqzj577kiaa" style="color: black;">Journal of Cheminformatics</a> </i> &nbsp;
We present a semi-supervised learning method that efficiently exploits unlabeled data in order to incorporate domain knowledge into a named entity recognition model and to leverage system performance.  ...  Chemical and biomedical Named Entity Recognition (NER) is an essential prerequisite task before effective text mining can begin for biochemical-text data.  ...  Ando focused on a semi-supervised approach, alternating structure optimization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1758-2946-7-s1-s9">doi:10.1186/1758-2946-7-s1-s9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25810780">pmid:25810780</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4331699/">pmcid:PMC4331699</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dgmnnfwsszcpdkv7k3dstaiory">fatcat:dgmnnfwsszcpdkv7k3dstaiory</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922021447/https://jcheminf.springeropen.com/track/pdf/10.1186/1758-2946-7-S1-S9?site=jcheminf.springeropen.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/61/85/6185abd2d01065a256806018409521a32147b1d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1758-2946-7-s1-s9"> <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/PMC4331699" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </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.  ...  Yes C RESULTS C.1 Named Entity Recognition Named-entity recognition from the Internet, more than 50 entity types. A seed of k manually generated entities for each entity type.  ... 
<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>

Using Local Grammar for Entity Extraction from Clinical Reports

Aicha Ghoulam, Fatiha Barigou, Ghalem Belalem, Farid Meziane
<span title="">2015</span> <i title="IMAI Software - International Journal of Interactive Multimedia and Artificial Intelligence"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fhdvncx73najxhx3vs4vdhbyru" style="color: black;">International Journal of Interactive Multimedia and Artificial Intelligence</a> </i> &nbsp;
The work presented in this paper uses a local grammar approach to extract medical named entities from French patient clinical reports.  ...  Hence, a system for extracting this information in a structured form can benefits healthcare professionals.  ...  Extracted features from clinical notes were used to train two machine learning algorithm-based entity recognition models, CRF and Structural Support Vector Machines (SSVMs).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9781/ijimai.2015.332">doi:10.9781/ijimai.2015.332</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i7q5tilqk5cozds5vz4b4eyqgq">fatcat:i7q5tilqk5cozds5vz4b4eyqgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808145103/http://www.ijimai.org/journal/sites/default/files/files/2015/05/ijimai20153_3_2_pdf_97545.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/b3/94/b394e445aac5f96383389450675298fd955ddcc5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9781/ijimai.2015.332"> <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>

Survey of Stages of Developing the Information Extraction Systems from the Web

Asmaa Ahmed Hamed Khalil Elsaeidy
<span title="2015-12-05">2015</span> <i title="Valley International"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/timzeuf4gfagnmqjhd5rr2hoxm" style="color: black;">International Journal Of Mechanical Engineering And Information Technology</a> </i> &nbsp;
In addition to introduce a view on the most used approaches in extracting information from social networks.  ...  The main contribution is how to help the user to extract relevant information from different and changeable web pages and integrate this extracted information into a single structured file automatically  ...  Extraction of complex structures such as relations and events is depending on accurate named entity recognition as a preprocessing step.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18535/ijmeit/v3i11.01">doi:10.18535/ijmeit/v3i11.01</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nytac7qcvzelpjblwzltgmkt64">fatcat:nytac7qcvzelpjblwzltgmkt64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602132114/http://www.igmpublication.org/ijmeit%20issue/v3-i11/1%20ijmeit.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/27/30/2730bb060f7ee8aab56354252a24a5ade98f31e0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18535/ijmeit/v3i11.01"> <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>

Knowledge Graphs Representation for Event-Related E-News Articles

M.V.P.T. Lakshika, H.A. Caldera
<span title="2021-09-26">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tjwucdga6zfftlebfsmbvxjiyy" style="color: black;">Machine Learning and Knowledge Extraction</a> </i> &nbsp;
Currently, popular machine learning approaches have greatly improved presentation accuracy compared to traditional methods, but they cannot be accommodated with the contextual information to acquire higher-level  ...  We propose an enhanced representation of a scalable knowledge graph by automatically extracting the information from the corpus of e-news articles and determine whether a knowledge graph can be used as  ...  Automated relationship extraction approaches can be categorized as supervised machine learning, unsupervised machine learning, and rule-based extraction approaches [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make3040040">doi:10.3390/make3040040</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hwspn2ma4vh5fn3o4oh3zgwj6m">fatcat:hwspn2ma4vh5fn3o4oh3zgwj6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211002165317/https://mdpi-res.com/d_attachment/make/make-03-00040/article_deploy/make-03-00040-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/81/1f/811f9e04fc3133a87128a754134265bfd8a2f70b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/make3040040"> <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>

Semi-Supervised Sequence Labeling with Self-Learned Features

Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2009 Ninth IEEE International Conference on Data Mining</a> </i> &nbsp;
We applied this approach on four classical IE tasks: named entity recognition (German and English), part-of-speech tagging (English) and one gene name recognition corpus.  ...  To tackle this issue, we propose a semisupervised approach to improve the sequence labeling procedure in IE through a class of algorithms with self-learned features (SLF).  ...  Extension (2): Boundary SLF For NLP tasks like named entity recognition or gene name recognition, rare words (words with very low frequency) are normally the hardest examples to label in the sequence since  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2009.40">doi:10.1109/icdm.2009.40</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/QiKCSKW09.html">dblp:conf/icdm/QiKCSKW09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/24rbcytv35azfho74aurrqndgy">fatcat:24rbcytv35azfho74aurrqndgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111206211228/http://ronan.collobert.com/pub/matos/2009_slf_icdm.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/a3/91/a39123507be3f09d1a51db9a7d7fb404c42fe24a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2009.40"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey on Recent Advances in Sequence Labeling from Deep Learning Models [article]

Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang
<span title="2020-11-13">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Sequence labeling (SL) is a fundamental research problem encompassing a variety of tasks, e.g., part-of-speech (POS) tagging, named entity recognition (NER), text chunking, etc.  ...  In this paper, we aim to present a comprehensive review of existing deep learning-based sequence labeling models, which consists of three related tasks, e.g., part-of-speech tagging, named entity recognition  ...  2) Named Entity Recognition (NER): Name entity recognition (NER, a.k.a., named entity identification or entity chunking), is a well-known classical sequence labeling task, the goal of which is to identify  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.06727v1">arXiv:2011.06727v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lbephd7kdjh6libg2v5xju7lri">fatcat:lbephd7kdjh6libg2v5xju7lri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201117004422/https://arxiv.org/pdf/2011.06727v1.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/39/cb/39cba8da65a0d042f4a40a1e97156080fdca46ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.06727v1" 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>

Big Data Analytics: Importance, Challenges, Categories, Techniques, and Tools

Sarah Alswedani
<span title="2020-08-25">2020</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/naqzxq5hurh2bp2pnvwitnnx44" style="color: black;">International Journal of Advanced Trends in Computer Science and Engineering</a> </i> &nbsp;
With the gigantic explosion of the volume of data generated every single day, big data analytics has born as a powerful technology for various organizations.  ...  This paper explores the importance of big data analytics for different domains, the challenges of utilizing big data analytics due to the complex nature of big data, and the technical approaches that are  ...  For Entity Recognition, supervised, semi-supervised, or unsupervised learning techniques can be used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/17">doi:10.30534/ijatcse/2020/17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wnd4pn5b6fazbfwzhajtlm6qvy">fatcat:wnd4pn5b6fazbfwzhajtlm6qvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200919011026/http://www.warse.org/IJATCSE/static/pdf/file/ijatcse174942020.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/10.30534/ijatcse/2020/17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 5,766 results