How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="CoBaLD/xlm-roberta-base-cobald-parser", trust_remote_code=True)
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("CoBaLD/xlm-roberta-base-cobald-parser", trust_remote_code=True, device_map="auto")
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Model Card for xlm-roberta-base-cobald-parser

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

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}
}
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