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Abstract: NLP, an AI field, that allows communication between computers and humans. NLP news text classification uses machine learning to categorize news into predefined groups. The vast volume of ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

In this study, we developed a dataset of behaviors associated with lameness in dairy cows. The data collection utilized IoT collars that were placed around the necks of 10 dairy cows. This publicly ...

#!/usr/bin/python import os from langfuse import Langfuse from urllib.parse import quote # zouding-org os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-xxx" os.environ ...

EleutherAI, an AI research organization, has released what it claims is one of the largest collections of licensed and open-domain text for training AI models. The dataset, called the Common Pile v0.1 ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face. Leveraging the capabilities of the ...

Abstract: Although graph neural networks based methods can solve the uneven text length problem of text classification datasets, they are difficult to address the data sparsity problem of short texts.