data/fas.rst.prstc/README.md

# fas.rst.prstc

### Persian RST Corpus

This is the first version of the Persian RST corpus, a corpus of 150 journalistic texts annotated in the framework of Rhetorical Structure Theory [1]. 
The annotation was mainly based on the English RST Discourse Treebank [2] guideline [3]. 
The relations used in the corpus are the coarse-grained relations introduced in RST Discourse Treebank tagging guideline, which are *Span*, *Joint*, *Elaboration*, *Same*-*Unit*, *Contrast*, *Explanation*, *Attribution*, *Cause*, *Background*, *Evaluation*, *Topic*, *Comment*, *Condition*, *Temporal*, *Summary*, *Enablement*, *Comparison*, *Topic*, *Change*, *Manner*-*Means*. We have annotated the corpus using [rstWeb](https://github.com/amir-zeldes/rstWeb) [4] and recommend you use this tool if you want to see RST trees graphically. The name of each document contains the source of the news; e.g. etemad001 was taken from Etemad newspaper. 

For more information about corpus articles, see [the source repository](https://github.com/hadiveisi/PersianRST), which provides information about the source, date, author and link of each article. This corpus is published under a [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) license. 


If you find this work useful in your research, please cite: [arxiv.org/abs/2106.13833](https://arxiv.org/abs/2106.13833)
```
@article{shahmohammadi2021persian,
      title={Persian {Rhetorical Structure Theory}}, 
      author={Sara Shahmohammadi and Hadi Veisi and Ali Darzi},
      year={2021},
      journal={arXiv preprint arXiv:2106.13833},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

[1] Mann, W. C., & Thompson, S. A. (1987). Rhetorical structure theory: A theory of text organization (pp. 87-190). Los Angeles: University of Southern California, Information Sciences Institute.

[2] Carlson, L., Marcu, D., & Okurowski, M. E. (2003). Building a discourse-tagged corpus in the framework of rhetorical structure theory. In Current and new directions in discourse and dialogue (pp. 85-112). Springer, Dordrecht.

[3] Carlson, L., & Marcu, D. (2001). Discourse tagging reference manual. ISI Technical Report ISI-TR-545, 54(2001), 56.

[4]  Zeldes, A. (2016, June). rstWeb-a browser-based annotation interface for Rhetorical Structure Theory and discourse relations. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (pp. 1-5).

## DISRPT 2023 Shared Task Information

Tokenization, sentence splits, POS tags, morphology and syntactic parses were added using Stanza's default `fa` model.
This dataset contains cases of token that are multi-word contraction. Tokenization reflects those cases by providing the contracted form (with a range of IDs as ID) followed by both of parts of the "extended" form.
This was the surprise dataset for DISRPT 2021.

### Notes on Segmentation

This dataset contains discontinuous discourse units (split 'same-unit').