Python library & examples for Masked Language Model Scoring (ACL 2020)

DEPRECATED. Use the MLM Scoring library instead: https://github.com/awslabs/mlm-scoring

Reproduced package based on Masked Language Model Scoring (ACL2020).

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MLM Software is a type of software that helps businesses sell products and services to their customers. This type of software is commonly used by companies to market their products to a larger audience. There are a number of different MLM software programs out there, so it’s important to choose the right one for your business. The following are some of the most common features of MLM software: lead capture, lead management, lead scoring, and lead nurturing.

Analyzing bias in RoBERTa models fine-tuned on Canadian vs Nunavut parliamentary data. Uses WEAT scores, embedding analysis, and MLM benchmarking to reveal how training on Indigenous vs settler political discourse shapes AI representations of governance, rights, and social issues. Promotes equitable AI development.

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Three programs, one creates a database for our application, the second program trains the model on a given dataset for further prediction. The third program creates a GUI for work, where you can enter the data of a new client (test) and on which you can check the operation of the model.

mlm-scoring, BERT https://www.kaggle.com/tanesan/use-masked-language-model-scoring

Calculating financial sentiment scores using MLM (Masked Language Model)

Built a Tamil abusive text detection model using IndicBERTv2 🧠. Applied domain adaptation by fine-tuning the MLM model on unlabeled Tamil text before supervised classification. Achieved 96.8% accuracy and 96.7% F1 score 📊. A great hands-on experience in transfer learning and regional language NLP 🚀.