https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Gurevych_Castilho_2015aGurevych Castilho 2015a - Revision history2026-04-26T04:28:13ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Gurevych_Castilho_2015a&diff=208114&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 787845526 to Gurevych Castilho 2015a2021-02-03T19:34:18Z<p>Scipediacontent moved page <a href="/public/Draft_Content_787845526" class="mw-redirect" title="Draft Content 787845526">Draft Content 787845526</a> to <a href="/public/Gurevych_Castilho_2015a" title="Gurevych Castilho 2015a">Gurevych Castilho 2015a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Gurevych_Castilho_2015a&diff=208113&oldid=prevScipediacontent: Created page with " == Abstract == Due to the diversity of natural language processing (NLP) tools and resources, combining them into processing pipelines is an important issue, and sharing the..."2021-02-03T19:34:15Z<p>Created page with " == Abstract == Due to the diversity of natural language processing (NLP) tools and resources, combining them into processing pipelines is an important issue, and sharing the..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Due to the diversity of natural language processing (NLP) tools and resources, combining them into processing pipelines is an important issue, and sharing these pipelines with others remains a problem. We present DKPro Core, a broad-coverage component collection integrating a wide range of third-party NLP tools and making them interoperable. Contrary to other recent endeavors that rely heavily on web services, our collection consists only of portable components distributed via a repository, making it particularly interesting with respect to sharing pipelines with other researchers, embedding NLP pipelines in applications, and the use on high-performance computing clusters. Our collection is augmented by a novel concept for automatically selecting and acquiring resources required by the components at runtime from a repository. Based on these contributions, we demonstrate a way to describe a pipeline such that all required software and resources can be automatically obtained, making it easy to share it with others, e.g. in order to reproduce results or as examples in teaching, documentation, or publications.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://dx.doi.org/10.3115/v1/w14-5201 http://dx.doi.org/10.3115/v1/w14-5201]<br />
<br />
* [http://pdfs.semanticscholar.org/70c0/be6cb1b2eb39ae7906a3f30cace0e4f30e74.pdf http://pdfs.semanticscholar.org/70c0/be6cb1b2eb39ae7906a3f30cace0e4f30e74.pdf]<br />
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* [https://www.aclweb.org/anthology/W14-5201 https://www.aclweb.org/anthology/W14-5201],<br />
: [https://www.aclweb.org/anthology/W14-5201.pdf https://www.aclweb.org/anthology/W14-5201.pdf],<br />
: [https://dblp.uni-trier.de/db/conf/coling/oiaf4hlt2014.html#CastilhoG14 https://dblp.uni-trier.de/db/conf/coling/oiaf4hlt2014.html#CastilhoG14],<br />
: [http://tubiblio.ulb.tu-darmstadt.de/97986 http://tubiblio.ulb.tu-darmstadt.de/97986],<br />
: [https://academic.microsoft.com/#/detail/2251991755 https://academic.microsoft.com/#/detail/2251991755]</div>Scipediacontent