(Apologies for cross-postings)

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*** The GUM Corpus - Release 10.0.0 ***

*** Georgetown University Multilayer corpus ***

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Corpling@GU https://gucorpling.org/corpling/ is happy to announce the first release of series 10 of the Georgetown University Multilayer corpus (GUM V10.0.0):

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https://gucorpling.org/gum/

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New in this version:

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- 4 new genres with 22 new documents: (total tokens: 228,399)

- Courtroom transcripts

- Essays

- Letters (on paper, not e-mails)

- Podcasts

- Expansions to the discourse annotation layer

- Enhanced RST parses with additional, non-projective tree-breaking relations (multiple relations per node)

- Complete signaling annotation including discourse markers and other discourse signals following the Signaling Corpus

- PDTB-style connective annotation and DISRPT style relation classification data

- Morphological segmentation following UniMorph

- Annotation of select constructions based on Construction Grammar (e.g. resultatives, NPN, causal-excess)

- Many corrections to all annotation layers

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GUM is an open source corpus of richly annotated English texts from 16 genres: academic, bio, courtroom, conversation, essay, fiction, interview, letters, news, podcasts, 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.

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This is the first version of GUM series 10, containing roughly 228K tokens annotated for:

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- Multiple POS tags (100% manual gold PTB, extended PTB, converted CLAWS5 and UPOS) and UD morphological features

- Manually corrected lemmatization and morphological segmentation

- Sentence segmentation and rough speech act (manual)

- Document structure using TEI tags (paragraphs, headings, figures, captions etc., all manual)

- Constituent and dependency syntax (manually corrected Universal Dependencies, and PTB parses from gold tags with function labels and enhanced dependencies)

- Information status (given-active/inactive, accessible-inferable/common ground/aggregate, and new)

- Entity type, salience and coreference annotation (including non-named entities, singletons, appositions, cataphora and several types of bridging), as well as Centering Theory annotations

- Entity linking (Wikification) of all named entities with Wikipedia articles, including their non-named and pronominal mentions

- Discourse parses in enhanced Rhetorical Structure Theory (eRST) and discourse dependencies

- Discourse signal annotations classified into 9 major and 45 minor types indicating how the presence of a relation is marked (based on the Signaling Corpus scheme)

- Abstractive summaries for each document (two summaries per document in the test set)

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Note on Reddit data: token text is not contained in the release but can be downloaded with an included script.

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For more information and to search or download the corpus online, see the corpus website https://gucorpling.org/gum/ .

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Best wishes,

The GUM team

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PS – if you like GUM, check out our ‘extreme genre test set’ GENTLE https://github.com/gucorpling/gentle/ , and the larger, automatically annotated AMALGUM https://github.com/gucorpling/amalgum/ corpus!

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