July 23, 2021 Software Open Access

Maus, David

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{"DOI":"10.25592/uhhfdm.9443","abstract":"<p>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.</p>\n\n<p><strong>Bibliography</strong></p>\n\n<p>Imsieke, Gerrit. 2018. &ldquo;Tokenized-to-Tree: An XProc/XSLT Library For Patching Back Tokenization/Analysis Results Into Marked-up Text.&rdquo; In XML Prague 2018 Conference Proceedings, 229&ndash;45. Prague, Czech Republic.</p>\n\n<p>Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. &ldquo;The Stanford CoreNLP Natural Language Processing Toolkit.&rdquo; In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 55&ndash;60. <a href=\"http://www.aclweb.org/anthology/P/P14/P14-5010\">http://www.aclweb.org/anthology/P/P14/P14-5010</a>.</p>\n\n<p>Verwer, Nico. &ldquo;Plain Text Processingin Structured Documents.&rdquo; In Proceedings of Declarative Amsterdam 2020. CWI, Amsterdam: John Benjamins, 2020. <a href=\"https://doi.org/10.1075/da.2020.verwer.plain-text-processing\">https://doi.org/10.1075/da.2020.verwer.plain-text-processing</a>.</p>","author":[{"family":"Maus, David"}],"id":"9443","issued":{"date-parts":[[2021,7,23]]},"language":"eng","title":"XML NLP Pipeline","type":"article","version":"1.2.1"}