tchewik/isanlp_rst_v3

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IsaNLP RST Parser v3

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).

Performance

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

Usage

To use the IsaNLP RST Parser with Hugging Face, follow the library readme.

Citation

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"
   }