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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><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><b>*** The GUM Corpus - Release 9.0.0 ***<o:p></o:p></b></p><p class=MsoNormal><b>*** Georgetown University Multilayer corpus ***<o:p></o:p></b></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><a href="https://gucorpling.org/corpling/">Corpling@GU</a> is happy to announce the first release of series 9 of the Georgetown University Multilayer corpus (GUM V9.0.0):<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><a href="https://gucorpling.org/gum/">https://gucorpling.org/gum/</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>New in this version: <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>- 20 new documents added including more conversational data (total tokens: 203,879)<o:p></o:p></p><p class=MsoNormal>- Abstractive summaries for each document<o:p></o:p></p><p class=MsoNormal>- Annotations for salient/non-salient entities in each document<o:p></o:p></p><p class=MsoNormal>- Foreign language tags to identify individual source languages where relevant<o:p></o:p></p><p class=MsoNormal>- New easier process for reconstructing Reddit text data<o:p></o:p></p><p class=MsoNormal>- Many corrections to all annotation layers<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, conversation, fiction, interview, news, speeches, textbooks, travel, vlogs, 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 9, containing roughly 200K tokens annotated for:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>- Multiple POS tags (100% manual gold PTB, extended PTB, converted CLAWS5 and UPOS) and UD morphological features<o:p></o:p></p><p class=MsoNormal>- Manually corrected lemmatization<o:p></o:p></p><p class=MsoNormal>- Sentence segmentation and rough speech act (manual)<o:p></o:p></p><p class=MsoNormal>- Document structure using TEI tags (paragraphs, headings, figures, captions etc., all manual)<o:p></o:p></p><p class=MsoNormal>- Constituent and dependency syntax (manually corrected Universal Dependencies, and PTB parses from gold tags with function labels)<o:p></o:p></p><p class=MsoNormal>- Information status (given-active/inactive, accessible-inferable/common ground/aggregate, and new)<o:p></o:p></p><p class=MsoNormal>- Entity type, salience and coreference annotation (including non-named entities, singletons, appositions, cataphora and several types of bridging)<o:p></o:p></p><p class=MsoNormal>- Entity linking (Wikification) of all named entities with Wikipedia articles, including their non-named and pronominal mentions<o:p></o:p></p><p class=MsoNormal>- Discourse parses in Rhetorical Structure Theory and discourse dependencies<o:p></o:p></p><p class=MsoNormal>- Abstractive summaries<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 <a href="https://gucorpling.org/gum/">the corpus website</a>.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Best wishes,<o:p></o:p></p><p class=MsoNormal>The GUM team<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>