3 ms·
CC BY SA 3.0: https://github.com/amir-zeldes/gum/blob/master/LICENSE.txt https://github.com/amir-zeldes/gum/blob/master/LICENSE.txt I didn't know about that pr
by lgessler 3y ago
CC BY SA 3.0: https://github.com/amir-zeldes/gum/blob/master/LICENSE.txt 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.)
- zozbot234 3y ago> UCCA, AMR, ... Are descriptions for these available anywhere? (The articles on https://en.wikipedia.org/wiki/Universal_Conceptual_Cognitive_Annotation https://en.wikipedia.org/wiki/Universal_Conceptual_Cognitive... and https://en.wikipedia.org/wiki/Abstract_Meaning_Representation https://en.wikipedia.org/wiki/Abstract_Meaning_Representatio... are not very helpful.) I did find an interesting description of UMR https://github.com/umr4nlp/umr-guidelines/blob/master/guidelines.md 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.
- lgessler 3y agoAMR: https://github.com/nschneid/amr-tutorial https://github.com/nschneid/amr-tutorial UCCA: https://aclanthology.org/P13-1023.pdf https://aclanthology.org/P13-1023.pdf And yeah, you could consider UMR an improved version of AMR. AMR is often lampooned with the false name "American Meaning Representation", referring to its unapologetic focus on English only. UMR tries to undo this sin and has a lot of the same people behind it, as well as some new features such as document-level context.
- zozbot234 3y agoWould you be willing to add those references to https://meta.wikimedia.org/wiki/Abstract_Wikipedia/Related_and_previous_work/Theories_of_semantics_and_meaning_representations https://meta.wikimedia.org/wiki/Abstract_Wikipedia/Related_a... (creating a new section for UMR) and perhaps https://meta.wikimedia.org/wiki/Abstract_Wikipedia/Related_and_previous_work/Natural_language_generation https://meta.wikimedia.org/wiki/Abstract_Wikipedia/Related_a... if you're aware of any references that talk about "creating complex, non-trivial text starting from an abstract meaning representation"? That would be the best way of making this discussion useful for what Wikipedia is apparently trying to do.
- lgessler 3y agoIt's been a while since I worked with any of them so it'd take some review form me to even write a blurb confidently. Sorry! On your latter point though, NLG from AMR is a topic that's been studied since its inception. See the AMR bibliography[1] and CTRL+F "generat". [1]: https://nert-nlp.github.io/AMR-Bibliography/ https://nert-nlp.github.io/AMR-Bibliography/