metadata
library_name: transformers
tags:
- headline-generation
- tags-generation
- multilingual
license: cc-by-sa-4.0
datasets:
- faisaltareque/XL-HeadTags
pipeline_tag: text2text-generation
Model Card for Model ID
This is a Text-to-Text model for generating headlines and tags from news articles.
Model Details
Model Description
This model is a Text-to-Text model for generating headlines and tags from news articles. This is a mT0 model finetuned on the XL-HeadTags multilingual dataset (read more).
- Model type: T5
- Finetuned from model : mT0
Model Sources [optional]
- Repository: XL-HeadTags
- Paper: XL-HeadTags
Citation [optional]
@inproceedings{shohan-etal-2024-xl,
title = "{XL}-{H}ead{T}ags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags",
author = "Shohan, Faisal and
Nayeem, Mir Tafseer and
Islam, Samsul and
Akash, Abu Ubaida and
Joty, Shafiq",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.771",
pages = "12991--13024"
}
Model Card Authors [optional]
- Faisal Tareque Shohan (faisaltareque@hotmail.com)
- Mir Tafseer Nayeem (mnayeem@ualberta.ca)
- Samsul Islam (samsulratul98@gmail.com)
- Abu Ubaida Akash (abu.ubaida.akash@usherbrooke.ca)
- Shafiq Joty (sjoty@salesforce.com)