Natural Language Generation | Gabriele Sarti

Natural Language Generation

Inseq: An Interpretability Toolkit for Sequence Generation Models

We present Inseq, a Python library to democratize access to interpretability analyses of sequence generation models.

Inseq: An Interpretability Toolkit for Sequence Generation Models

An open-source library to democratize access to model interpretability for sequence generation models

PECoRe: Plausibility Evaluation of Context Usage in Language Models

An interpretability framework to detect and attribute context usage in language models' generations

ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation

We present ETC-NLG, an approach leveraging topic modeling annotations to enable fully-unsupervised End-to-end Topic-Conditioned Natural Language Generation over emergent topics in unlabeled document collections.

The Literary Ordnance: When the Writer is an AI

Discussing the applications of AI and NLP in the fields of literature and digital humanities.

AItalo Svevo: Letters from an Artificial Intelligence

Generating letters with a neural language model in the style of Italo Svevo, a famous italian writer of the 20th century.