How to mitigate biases in text classification models?

Jul 21, 2024 ... This tutorial on Fine tuning LLama 3 LLM for Text Classification of Stock Sentiment using QLoRA was particularly useful. These techniques use for the construction of classification models that classify the text of autopsy reports. Data sets collected from these types will be ... Apr 4, 2019 ... In this study, we propose a new approach which combines rule-based features and knowledge-guided deep learning models for effective disease classification. To help middle school students explore Artificial Intelligence (AI), we built a text classifier extension into a block-based programming interface using ... In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Nov 16, 2023 ... Looking for a very small text classification transformer [R]. Research. I'm looking for suggestions for a transformer model that I can fine-tune ... Text classification is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ... Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... A text classifier is a machine learning model that's been trained to recognize patterns in natural language text, like the sentiment expressed by a sentence. ... Text Line Database · Cover of Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying. Improving Text Classification ...