Abstract: Large language models (LLMs) have made significant advancements in natural language understanding. However, through that enormous semantic representation that the LLM has learnt, is it ...
Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic ...
Abstract: This study is intended for those with speech problems, hearing loss, or deafness. For those who are hard of hearing or deaf, sign language is unique in that it serves as their primary and ...
If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...
Hate-Speech-Detection/ ├── src/ │ ├── main.py # Desktop application entry │ ├── web_app.py # Flask web interface │ ├── api.py # FastAPI REST endpoints │ ├── model.py # ML models │ ├── database.py # ...
Unsupervised domain adaptation (UDA) involves learning class semantics from labeled data within a source domain that generalize to an unseen target domain. UDA methods are particularly impactful for ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results