Robertuito Pos

🚀 POS Tagging model for Spanish/English

This project presents a Part - of - Speech (POS) tagging model, robertuito - pos, which addresses the POS tagging task for Spanish and English. It leverages the power of pre - trained models and specific corpora to achieve high - quality tagging results.

🚀 Quick Start

The model robertuito - pos is trained with the Spanish/English split of the LinCE NER corpus, a code - switched benchmark. The base model is RoBERTuito, a RoBERTa model trained on Spanish tweets.

Repository: https://github.com/pysentimiento/pysentimiento/

✨ Features

• Trained on a code - switched benchmark corpus, suitable for Spanish and English POS tagging.
• Based on the pre - trained RoBERTuito model, which has good performance on Spanish tweets.

📦 Installation

The installation process is not explicitly provided in the original document. If you want to use this model, it is recommended to refer to the pysentimiento library's official documentation for installation instructions.

💻 Usage Examples

Basic Usage

from pysentimiento import create_analyzer

pos_analyzer = create_analyzer("pos", lang="es")

pos_analyzer.predict("Quiero que esto funcione correctamente! @perezjotaeme")
 
 
>[{'type': 'PROPN', 'text': 'Quiero', 'start': 0, 'end': 6},
> {'type': 'SCONJ', 'text': 'que', 'start': 7, 'end': 10},
> {'type': 'PRON', 'text': 'esto', 'start': 11, 'end': 15},
> {'type': 'VERB', 'text': 'funcione', 'start': 16, 'end': 24},
> {'type': 'ADV', 'text': 'correctamente', 'start': 25, 'end': 38},
> {'type': 'PUNCT', 'text': '!', 'start': 38, 'end': 39},
> {'type': 'NOUN', 'text': '@perezjotaeme', 'start': 40, 'end': 53}]

⚠️ Important Note

If you want to use this model, we suggest you use it directly from the pysentimiento library as it is not working properly with the pipeline due to tokenization issues.

📚 Documentation

Results

Results are taken from the LinCE leaderboard

📄 License

The license information is not provided in the original document.

📚 Citation

If you use this model in your research, please cite pysentimiento, RoBERTuito and LinCE papers:

@misc{perez2021pysentimiento,
      title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
      author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
      year={2021},
      eprint={2106.09462},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
@inproceedings{ortega2019overview,
  title={Overview of the task on irony detection in Spanish variants},
  author={Ortega-Bueno, Reynier and Rangel, Francisco and Hern{\'a}ndez Far{\i}as, D and Rosso, Paolo and Montes-y-G{\'o}mez, Manuel and Medina Pagola, Jos{\'e} E},
  booktitle={Proceedings of the Iberian languages evaluation forum (IberLEF 2019), co-located with 34th conference of the Spanish Society for natural language processing (SEPLN 2019). CEUR-WS. org},
  volume={2421},
  pages={229--256},
  year={2019}
}

@inproceedings{aguilar2020lince,
  title={LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation},
  author={Aguilar, Gustavo and Kar, Sudipta and Solorio, Thamar},
  booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},
  pages={1803--1813},
  year={2020}
}