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tchewik/isanlp_rst_v3
isanlp_rst_v3 is a machine learning model from tchewik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
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From the Hugging Face model README
This repository hosts several versions of the IsaNLP RST Parser. For more details, visit the GitHub repository.
Supported languages (all): English (eng), Czech (ces), German (deu), Basque (eus), Persian (fas), French (fra), Dutch (nld), Brazilian Portuguese (por), Russian (rus), Spanish (spa), and Chinese (zho).
The following table summarizes the end-to-end performance metrics of different model versions across various corpora:
| Tag / Branch | Languages | Train Data | Test Data | Seg | S | N | R | Full |
|---|---|---|---|---|---|---|---|---|
rstdt | eng | eng.rst.rstdt | eng.rst.rstdt | 97.8 | 75.6 | 65.0 | 55.6 | 53.9 |
gumrrg | eng, rus | eng.erst.gum, rus.rst.rrg | eng.erst.gum | 95.5 | 67.4 | 56.2 | 49.6 | 48.7 |
| rus.rst.rrg | 97.0 | 67.1 | 54.6 | 46.5 | 45.4 | |||
rstreebank | rus | rus.rrt | rus.rst.rrt | 92.1 | 66.2 | 53.1 | 46.1 | 46.2 |
unirst | all | all | ces.rst.crdt | 94.5 | 59.1 | 41.2 | 28.6 | 28.0 |
| deu.rst.pcc | 96.5 | 67.3 | 47.4 | 34.1 | 32.1 | |||
| eng.erst.gum | 95.3 | 67.3 | 55.6 | 48.5 | 47.4 | |||
| eng.rst.oll | 92.5 | 55.7 | 39.0 | 27.5 | 26.3 | |||
| eng.rst.rstdt | 98.1 | 76.7 | 65.5 | 55.2 | 53.6 | |||
| eng.rst.sts | 91.2 | 43.3 | 31.3 | 19.4 | 18.7 | |||
| eng.rst.umuc | 88.8 | 52.6 | 40.6 | 26.2 | 25.8 | |||
| eus.rst.ert | 92.5 | 66.0 | 50.3 | 34.9 | 34.7 | |||
| fas.rst.prstc | 94.7 | 63.0 | 50.2 | 40.8 | 40.7 | |||
| fra.sdrt.annodis | 91.3 | 58.6 | 48.9 | 30.6 | 30.3 | |||
| nld.rst.nldt | 98.0 | 61.8 | 49.8 | 36.8 | 35.8 | |||
| por.rst.cstn | 93.9 | 68.4 | 52.8 | 44.9 | 44.5 | |||
| rus.rst.rrg | 96.4 | 67.4 | 54.0 | 46.3 | 45.1 | |||
| rus.rst.rrt | 90.7 | 63.0 | 49.0 | 42.3 | 42.2 | |||
| spa.rst.rststb | 93.4 | 63.5 | 50.3 | 36.0 | 36.0 | |||
| spa.rst.sctb | 85.5 | 55.1 | 46.8 | 39.1 | 39.1 | |||
| zho.rst.gcdt | 93.0 | 64.5 | 50.7 | 45.9 | 44.6 | |||
| zho.rst.sctb | 95.4 | 67.5 | 51.5 | 39.9 | 39.9 |
To use the IsaNLP RST Parser with Hugging Face, follow the library readme.
If you use the IsaNLP RST Parser in your research, please cite our work as follows:
For versions gumrrg, rstdt, and rstreebank:
@inproceedings{
chistova-2024-bilingual,
title = "Bilingual Rhetorical Structure Parsing with Large Parallel Annotations",
author = "Chistova, Elena",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.577",
pages = "9689--9706"
}
For unirst:
@inproceedings{chistova-2025-bridging,
title = "Bridging Discourse Treebanks with a Unified Rhetorical Structure Parser",
author = "Chistova, Elena",
booktitle = "Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.codi-1.17/",
pages = "197--208"
}