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CorPipe 23 multilingual CorefUD 1.1 model (corpipe23-corefud1.1-231206)
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Straka, Milan, 2023,
CorPipe 23 multilingual CorefUD 1.1 model (corpipe23-corefud1.1-231206), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-5369.
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2023-12-06
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Description
The `corpipe23-corefud1.1-231206` is a `mT5-large`-based multilingual model for coreference resolution usable in CorPipe 23 (https://github.com/ufal/crac2023-corpipe). It is released under the CC BY-NC-SA 4.0 license.
The model is language agnostic (no _corpus id_ on input), so it can be used to predict coreference in any `mT5` language (for zero-shot evaluation, see the paper). However, note that the empty nodes must be present already on input, they are not predicted (the same settings as in the CRAC23 shared task).
Acknowledgement
Grantová agentura České republiky
Project code:GX20-16819X
Project name:LUSyD – Language Understanding: from Syntax to Discourse
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- corpipe23-corefud1.1-231206.zip
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- 1.78 GB
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- application/zip
- Description
- A multilingual coreference resolution model based on `mT5-large` usable in CorPipe 23 <https://github.com/ufal/crac2023-corpipe>.
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- fef66488781d96ca492b253a1f19bf82
- corpipe23-corefud1.1-231206
- LICENSE20 kB
- README.md5 kB
- options.json1 kB
- model.h52 GB
- tags.txt1 kB