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http://scihub22266oqcxt.onion/ C5860830!5860830 !29568821     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29568821 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       LREC+Int+Conf+Lang+Resour+Eval 2016 ; 2016 (W23 ): 6-12 Nephropedia Template TP {{tp|p=29568821 |t=2016. Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE |pdf=|usr=}}{{29568821 }} gab.com Text Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE JO: LREC Int Conf Lang Resour Eval http://www.kidney.de/pget.php?&tw=1&pmid=29568821 #FOAvip There is currently a crisis in science related to highly publicized failures to reproduce large numbers of published studies. The current work proposes, by way of case studies, a methodology for moving the study of reproducibility in computational work to a full stage beyond that of earlier work. Specifically, it presents a case study in attempting to reproduce the reports of two R libraries for doing text mining of the PubMed/MEDLINE repository of scientific publications. The main findings are that a rational paradigm for reproduction of natural language processing papers can be established; the advertised functionality was difficult, but not impossible, to reproduce; and reproducibility studies can produce additional insights into the functioning of the published system. Additionally, the work on reproducibility lead to the production of novel user-centered documentation that has been accessed 260 times since its publication-an average of once a day per library. Twit Text FOAVip Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE ????LREC Int Conf Lang Resour Eval http://www.kidney.de/pget.php?&tw=1&pmid=29568821 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29568821 #FOAvip English Wikipedia <ref>{{Cite pmid|29568821 }}</ref> Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE #MMPMID29568821 Cohen KB ; Xia J ; Roeder C ; Hunter LE LREC Int Conf Lang Resour Eval 2016[May]; 2016 (W23 ): 6-12 PMID29568821 show ga There is currently a crisis in science related to highly publicized failures to reproduce large numbers of published studies. The current work proposes, by way of case studies, a methodology for moving the study of reproducibility in computational work to a full stage beyond that of earlier work. Specifically, it presents a case study in attempting to reproduce the reports of two R libraries for doing text mining of the PubMed/MEDLINE repository of scientific publications. The main findings are that a rational paradigm for reproduction of natural language processing papers can be established; the advertised functionality was difficult, but not impossible, to reproduce; and reproducibility studies can produce additional insights into the functioning of the published system. Additionally, the work on reproducibility lead to the production of novel user-centered documentation that has been accessed 260 times since its publication-an average of once a day per library. äReproducibility in Natural Language Processing: A Case Study of Two R (epmc).pdf DeepDyve Pubget Overpricing