CorPipe 23 multilingual CorefUD 1.2 model (corpipe23-corefud1.2-240906)

Title:

CorPipe 23 multilingual CorefUD 1.2 model (corpipe23-corefud1.2-240906)

Creator:

Straka, Milan

Contributor:

Grantová agentura České republiky@@GX20-16819X@@LUSyD – Language Understanding: from Syntax to Discourse@@nationalFunds@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-5673

Subject:

coreference resolution, CorPipe, and CorefUD

Type:

tool and toolService

Description:

The `corpipe23-corefud1.2-240906` 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 in theory used to predict coreference in any `mT5` language. However, the model expects empty nodes to be already present on input, predicted by the https://www.kaggle.com/models/ufal-mff/crac2024_zero_nodes_baseline/. This model was present in the CorPipe 24 paper as an alternative to a single-stage approach, where the empty nodes are predicted joinly with coreference resolution (via http://hdl.handle.net/11234/1-5672), an approach circa twice as fast but of slightly worse quality.

Language:

Catalan, Czech, Church Slavic, German, English, Spanish, French, Ancient Greek (to 1453), Ancient Hebrew, Hungarian, Lithuanian, Norwegian Bokmål, Norwegian Nynorsk, Polish, Russian, and Turkish

Rights:

Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
http://creativecommons.org/licenses/by-nc-sa/4.0/
PUB

Relation:

https://arxiv.org/abs/2410.02756

Source:

https://github.com/ufal/crac2023-corpipe

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2024-09-06