Twitter XLM Roberta base This is a XLM Roberta base model trained on ~198M multilingual tweets, described and evaluated in the reference paper. To evaluate this and other LMs on Twitter specific data, please refer to the main repository. A usage example is provided below. Computing tweet similarity BibTeX entry and citation info Please cite the reference paper if you use this model. bibtex @inproceedings{barbieri etal 2022 xlm, title = "{XLM} {T}: Multilingual Language Models in {T}witter for Sentiment Analysis and Beyond", author = "Barbieri, Francesco and Espinosa Anke, Luis and Camacho Collados, Jose", booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference", month = jun, year = "2022", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://aclanthology.org/2022.lrec 1.27", pages = "258 266", abstract = "Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on clean pre training and task specific corpora as m…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy