README.md

---
base_model: xlm-roberta-base
datasets: E-katrin/train20
language: sv
library_name: transformers
license: gpl-3.0
metrics:
- accuracy
- f1
pipeline_tag: token-classification
tags:
- pytorch
model-index:
- name: E-katrin/train20_0_check
  results:
  - task:
      type: token-classification
    dataset:
      name: train20
      type: E-katrin/train20
      split: validation
    metrics:
    - type: f1
      value: 0.7483831851253031
      name: Null F1
    - type: f1
      value: 0.013794401146215477
      name: Lemma F1
    - type: f1
      value: 0.04766174451743489
      name: Morphology F1
    - type: accuracy
      value: 0.5750560119492159
      name: Ud Jaccard
    - type: accuracy
      value: 0.40350877192982454
      name: Eud Jaccard
    - type: f1
      value: 0.7461145129726658
      name: Miscs F1
    - type: f1
      value: 0.4785232285712018
      name: Deepslot F1
    - type: f1
      value: 0.35387157678175035
      name: Semclass F1
---

# Model Card for train20_0_check

A transformer-based multihead parser for CoBaLD annotation.

This model parses a pre-tokenized CoNLL-U text and jointly labels each token with three tiers of tags:
* Grammatical tags (lemma, UPOS, XPOS, morphological features),
* Syntactic tags (basic and enhanced Universal Dependencies),
* Semantic tags (deep slot and semantic class).

## Model Sources

- **Repository:** https://github.com/CobaldAnnotation/CobaldParser
- **Paper:** https://dialogue-conf.org/wp-content/uploads/2025/04/BaiukIBaiukAPetrovaM.009.pdf
- **Demo:** [coming soon]

## Citation

```
@inproceedings{baiuk2025cobald,
  title={CoBaLD Parser: Joint Morphosyntactic and Semantic Annotation},
  author={Baiuk, Ilia and Baiuk, Alexandra and Petrova, Maria},
  booktitle={Proceedings of the International Conference "Dialogue"},
  volume={I},
  year={2025}
}
```