Resultado de búsqueda
23 de abr. de 2024 · The ten things are: What is BERT and the transformer, and why do I need to understand it? Models like BERT are already massively impacting academia and business, so we’ll outline some of the ways these models are used, and clarify some of the terminology around them. What did we do before these models?
26 de abr. de 2024 · The presented algorithm outlines an ensemble model for conducting sentiment analysis by harnessing the capabilities of three distinct natural language processing models: BERT, RoBERTa, and GPT-3.
18 de abr. de 2024 · It shows how accuracy and carbon emissions change across feature extractors, including the extreme carbon emissions cost of the fine-tuned RoBERTa model and the balanced accuracy and emissions of the RoBERTa+FastText feature extractor.
27 de abr. de 2024 · RoBERTa: RoBERTa is a powerful pre-trained language model optimized for a wide range of NLP tasks and has demonstrated exceptional performance in tasks like sentiment analysis, text classification, machine translation, and more.
26 de abr. de 2024 · We used the best-performing model, based on Est-RoBERTa, to predict the stances of all sentences in the corpus containing relevant keywords (n = 106539). We focus on monthly trends, as a tradeoff between detail and the amount of available data per unit of time.
16 de abr. de 2024 · To automate the legal judgment prediction process, her firm opted to utilize powerful transformer models, specifically Legal BERT and Legal RoBERTa. For that they collected a dataset of legal judgments encompassing various case types, including sentence overruling, violations, and plea judgments.
27 de abr. de 2024 · Within the development of conversational AI, automatic speech understanding (ASU) aims to accurately and comprehensively interpret input speech using advanced ML techniques, including bridging potential communication gaps between people from diverse backgrounds and language capabilities.
