gum
umr-guidelines
| gum | umr-guidelines | |
|---|---|---|
| 5 | 1 | |
| 86 | 9 | |
| - | - | |
| 9.0 | 5.0 | |
| 4 days ago | 7 days ago | |
| Python | ||
| GNU General Public License v3.0 or later | - |
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gum
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Évariste Galois
CC BY SA 3.0: https://github.com/amir-zeldes/gum/blob/master/LICENSE.txt
I didn't know about that project, that's really cool! I'd be curious to know whether the person who devised this scheme was aware of structured meaning representations (UCCA, AMR, ...), and if so, why they chose to create a new meaning representation. Maybe the goals of the project and/or the constraints of Wikidata necessitated this.
Anyway, GUM (and its sister corpus EWT) does have a lot of parsed permissively-licensed text, so whoever's in charge should definitely consider using them. (Amir, the maintainer, is also super friendly and would respond to an email.)
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Mechanical engineering professor seeking recommendations for foundational textbooks or seminal publications (corpus ling., genre analysis)
GUM's RST layer, the next biggest English RST-annotated corpus.
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English-conversation corpus
Some of the genres in GUM might interest you: https://github.com/amir-zeldes/gum
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Is "you guys" a pronoun.
This issue came up in a corpus: https://github.com/amir-zeldes/gum/issues/71
umr-guidelines
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Évariste Galois
> UCCA, AMR, ...
Are descriptions for these available anywhere? I did find an interesting description of UMR https://github.com/umr4nlp/umr-guidelines/blob/master/guidel... , which looks like it might be intended as a generalization of AMR and quite in line w/ what the project is looking for.
What are some alternatives?
Korpora - Korean corpus repository
amr-tutorial - Abstract Meaning Representation (AMR) tutorial slides
proiel-treebank - Official releases of the PROIEL treebank of ancient Indo-European languages
trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
camel_tools - A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.