Tag: computational linguistics

A new commentary argues that large language models can reconstruct the statistical architecture of psychiatric questionnaires from wording alone, suggesting ...

A new context-aware semantic similarity method substantially improves unsupervised word sense disambiguation without requiring annotated training data.

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...

A new unsupervised framework transfers part-of-speech annotations to low-resource languages using machine-generated pseudo-parallel data instead of real parallel corpora.