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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>(Apologies for cross-postings)<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>*** The GUM Corpus - Release 6.0.0 ***<o:p></o:p></p><p class=MsoNormal>*** Georgetown University Multilayer corpus ***<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The <a href="http://corpling.uis.georgetown.edu/corpling/" target="_blank">Corpling Lab at Georgetown University</a> is happy to announce the first release of series 6 of the Georgetown University Multilayer corpus (V6.0.0).<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>New in this version: <b><o:p></o:p></b></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>22 documents added (total tokens: 129,660)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Discourse parses in Rhetorical Structure Theory now follow RST-DT guidelines<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>5 new relations (means, manner, attribution, question and same-unit)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Discourse dependency representation and lisp-style formats available<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Now using native Universal Dependencies syntax trees (not automatic conversion)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Many manual corrections to lemmatization, POS and other consistency improvements<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>GUM is an open source corpus of richly annotated English texts from multiple genres: academic, bio, fiction, interview, news, travel, how-to and Reddit forum discussions. The corpus is created by students as part of the Computational Linguistics curriculum at Georgetown University and is available under Creative Commons licenses.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>This is the first version of GUM series 6, containing nearly 130K tokens annotated for:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Multiple POS tags (100% manual gold PTB, extended PTB, converted CLAWS5 and UPOS) and UD morphological features<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Manually corrected lemmatization<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Sentence segmentation and rough speech act (manual)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Document structure using TEI tags (paragraphs, headings, figures, captions etc., all manual)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Constituent and dependency syntax (manually corrected Universal Dependencies, and PTB parses from gold tags)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Information status (given, accessible, new)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Entity and coreference annotation (including non-named entities, singletons, appositions, cataphora and several types of bridging)<o:p></o:p></p><p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]><span dir=LTR></span>Discourse parses in Rhetorical Structure Theory<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Note on Reddit data: token text is not contained in the release but can be downloaded with an included script.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>For more information and to search or download the corpus online, see:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><a href="https://corpling.uis.georgetown.edu/gum/">https://corpling.uis.georgetown.edu/gum/</a> <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Best,<o:p></o:p></p><p class=MsoNormal>Amir<o:p></o:p></p><p class=MsoNormal>------------<o:p></o:p></p><p class=MsoNormal>Dr. Amir Zeldes<o:p></o:p></p><p class=MsoNormal>Assoc. Prof. of Computational Linguistics<o:p></o:p></p><p class=MsoNormal>Department of Linguistics<o:p></o:p></p><p class=MsoNormal>Georgetown University<o:p></o:p></p><p class=MsoNormal>1437 37th St. NW<o:p></o:p></p><p class=MsoNormal>Washington, DC 20057<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><a href="http://corpling.uis.georgetown.edu/amir">http://corpling.uis.georgetown.edu/amir</a> <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>