metadata

license: apache-2.0
language:
  - en

Model Card for xlm-roberta-large-lemma-en

This model is a fine-tuned version of xlm-roberta-large for the contextual lemmatization task.
The datasets used for training are extracted from the data of the SIGMORPHON 2019 Shared Task.
The model for the English language was trained using EWT corpus.

Training Hyperparameters

SEED: 42
EPOCHS: 15
BATCH SIZE: 8
GRADIENT ACCUMULATION STEPS: 2
LEARNING RATE: 0.00002
WARMUP: 0.06
WEIGHT DECAY: 0.1

Results

For more details you can see the paper and the repository:

📖 Paper: On the Role of Morphological Information for Contextual Lemmatization
🌐 Repository: Datasets and training files

Contact: Olia Toporkov and Rodrigo Agerri HiTZ Center - Ixa, University of the Basque Country UPV/EHU
Funding:
Model type: xlm-roberta-large
Language(s) (NLP): English
License: apache-2.0

Citation

@article{10.1162/coli_a_00497,
    author = {Toporkov, Olia and Agerri, Rodrigo},
    title = "{On the Role of Morphological Information for Contextual
                    Lemmatization}",
    journal = {Computational Linguistics},
    volume = {50},
    number = {1},
    pages = {157-191},
    year = {2024},
    month = {03},
    issn = {0891-2017},
    doi = {10.1162/coli_a_00497},
    url = {https://doi.org/10.1162/coli\_a\_00497},
    eprint = {https://direct.mit.edu/coli/article-pdf/50/1/157/2367156/coli\_a\_00497.pdf},
}