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10.1016/j.procs.2016.05.338 http://scihub22266oqcxt.onion/10.1016/j.procs.2016.05.338 C5482373!5482373!28649288     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Procedia+Comput+Sci 2016 ; 80 (ä): 386-97 Nephropedia Template TP {{tp|p=28649288|t=2016. A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature |pdf=|usr=}}{{28649288}} gab.com Text A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=28649288 #FOAvip A wealth of valuable data is locked within the millions of research articles published each year. Reading and extracting pertinent information from those articles has become an unmanageable task for scientists. This problem hinders scientific progress by making it hard to build on results buried in literature. Moreover, these data are loosely structured, encoded in manuscripts of various formats, embedded in different content types, and are, in general, not machine accessible. We present a hybrid human-computer solution for semi-automatically extracting scientific facts from literature. This solution combines an automated discovery, download, and extraction phase with a semi-expert crowd assembled from students to extract specific scientific facts. To evaluate our approach we apply it to a challenging molecular engineering scenario, extraction of a polymer property: the Flory-Huggins interaction parameter. We demonstrate useful contributions to a comprehensive database of polymer properties. Twit Text FOAVip A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=28649288 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28649288 #FOAvip English Wikipedia <ref>{{Cite pmid|28649288}}</ref> A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature #MMPMID28649288 Tchoua RB; Chard K; Audus D; Qin J; de Pablo J; Foster I Procedia Comput Sci 2016[]; 80 (ä): 386-97 PMID28649288show ga A wealth of valuable data is locked within the millions of research articles published each year. Reading and extracting pertinent information from those articles has become an unmanageable task for scientists. This problem hinders scientific progress by making it hard to build on results buried in literature. Moreover, these data are loosely structured, encoded in manuscripts of various formats, embedded in different content types, and are, in general, not machine accessible. We present a hybrid human-computer solution for semi-automatically extracting scientific facts from literature. This solution combines an automated discovery, download, and extraction phase with a semi-expert crowd assembled from students to extract specific scientific facts. To evaluate our approach we apply it to a challenging molecular engineering scenario, extraction of a polymer property: the Flory-Huggins interaction parameter. We demonstrate useful contributions to a comprehensive database of polymer properties. äA Hybrid Human-Computer Approach to the Extraction of Scientific Facts(epmc).pdf DeepDyve Pubget Overpricing