In the past, we mostly encode text data using, for example, one-hot, term frequency, or TF-IDF (normalized term frequency). There are many challenges to these techniques. In recent years, the latest ...

Abstract: The subway station has a large passenger flow and strong mobility, and subway-oriented signs have become the necessary core support for the subway system. The paper first takes the complaint ...

T-cell receptor (TCR) sequencing has emerged as a powerful tool for understanding adaptive immune responses, yet challenges persist in deciphering the immense diversity of Complementarity-Determining ...

This repo presents a solution for a Kaggle-hosted competition on automatic essay scoring. This log tracks the progress in terms of improvements of prediction accuracy, including notes about which ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

Abstract: The volume of text is growing rapidly, especially as a result of the publication of articles; the problem is made more difficult by the rise in text data that is anonymous. Authorship ...

Dept. of Computer Science and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA. Natural language processing (NLP) applications are ubiquitous now, perhaps the most prolific of ...