March 20, 2021 Software Open Access

Maus, David

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    <subfield code="x">Imsieke, Gerrit. 2018. "Tokenized-to-Tree: An XProc/XSLT Library For Patching Back Tokenization/Analysis Results Into Marked-up Text." In XML Prague 2018 Conference Proceedings, 229–45. Prague, Czech Republic.</subfield>
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    <subfield code="x">Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. "The Stanford CoreNLP Natural Language Processing Toolkit." In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 55–60.</subfield>
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    <subfield code="a">&lt;p&gt;The XML NLP Pipeline is a Java command line application that integrates the Stanford CoreNLP pipeline (Manning et al. 2014) in an XML-based processing pipeline. It uses a simplified version of the Separated Markup API for XML (SMAX) by Nico Verwer (Verwer 2020) to patch the annotated tokens back to the XML document, preserving all previous annotations.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Bibliography&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Imsieke, Gerrit. 2018. &amp;ldquo;Tokenized-to-Tree: An XProc/XSLT Library For Patching Back Tokenization/Analysis Results Into Marked-up Text.&amp;rdquo; In XML Prague 2018 Conference Proceedings, 229&amp;ndash;45. Prague, Czech Republic.&lt;/p&gt;

&lt;p&gt;Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. &amp;ldquo;The Stanford CoreNLP Natural Language Processing Toolkit.&amp;rdquo; In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 55&amp;ndash;60. &lt;a href="http://www.aclweb.org/anthology/P/P14/P14-5010"&gt;http://www.aclweb.org/anthology/P/P14/P14-5010&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Verwer, Nico. &amp;ldquo;Plain Text Processingin Structured Documents.&amp;rdquo; In Proceedings of Declarative Amsterdam 2020. CWI, Amsterdam: John Benjamins, 2020. &lt;a href="https://doi.org/10.1075/da.2020.verwer.plain-text-processing"&gt;https://doi.org/10.1075/da.2020.verwer.plain-text-processing&lt;/a&gt;.&lt;/p&gt;</subfield>
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