Search Results for author: Giangiacomo Mercatali

Found 2 papers, 0 papers with code

Learning Disentangled Representations for Natural Language Definitions

no code implementations22 Sep 2022 Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang, Andre Freitas

Disentangling the encodings of neural models is a fundamental aspect for improving interpretability, semantic control and downstream task performance in Natural Language Processing.


Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders

no code implementations Findings (EMNLP) 2021 Giangiacomo Mercatali, André Freitas

The ability of learning disentangled representations represents a major step for interpretable NLP systems as it allows latent linguistic features to be controlled.

Disentanglement Style Transfer +1

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