
Discover how computational linguistics can derive meaning from adjective scales, using web data and neural networks to understand gradable modifiers in everyday language and medical contexts.

Discover how encoder-only transformers power RAG, sentiment analysis, and classification through clear explanations of word embedding, positional encoding, and attention mechanisms.

Discover how large language models assist social work experts in analyzing millions of Twitter posts about homelessness through OATH-Frames, revealing crucial public attitude trends and policy insights.