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  1. Pronoun disambiguation (Winograd Schema Challenge): RoBERTa can be used to disambiguate pronouns. First install spaCy and download the English-language model: pip install spacypython -m spacy download en_core_web_lg. Next load the roberta.large.wscmodel and call the disambiguate_pronounfunction.

  2. RoBERTa. The RoBERTa model was proposed in RoBERTa: A Robustly Optimized BERT Pretraining Approach by Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov. It is based on Google’s BERT model released in 2018. It builds on BERT and modifies key hyperparameters ...

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  4. we call RoBERTa, that can match or exceed the performance of all of the post-BERT methods. Our modifications are simple, they include: (1) training the model longer, with bigger batches, over more data; (2) removing the next sentence prediction objective; (3) training on longer se-quences; and (4) dynamically changing the mask-

  5. Robertha. Gloria Ivonne Barrera Gutiérrez, 1 más conocida como Robertha, apodada "La voz del Amor", es una actriz y cantante nacida en Lima, Perú hija de la también cantante peruana Fetiche (Rosa Gutiérrez). 2 Desarrolló la parte de mayor éxito de su carrera en México en las décadas de 1960 y 1970, tuvo un disco de oro en Hollywood por ...

  6. The roberta-base-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa base model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the National Library ...

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