activity
20172023
most citedA Survey on Explainability in Machine Reading Comprehension

32 citations · 197 across the 43 of their papers we have counts for

collaborators

50 papers

cs.CL2023★ 3 cited

Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations

Leonardo Ranaldi, Giulia Pucci, Andre Freitas

The language ability of Large Language Models (LLMs) is often unbalanced towards English because of the imbalance in the distribution of the pre-training data. This disparity is de…

cs.CL2023

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions

Christina Niklaus, Matthias Cetto, André Freitas +1

Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence l…

cs.CL2023

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions

Marco Valentino, Danilo S. Carvalho, André Freitas

Natural language definitions possess a recursive, self-explanatory semantic structure that can support representation learning methods able to preserve explicit conceptual relation…

cs.CL2022

Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder

Yingji Zhang, Danilo S. Carvalho, André Freitas

Formal/symbolic semantics can provide canonical, rigid controllability and interpretability to sentence representations due to their \textit{localisation} or \textit{composition} p…

cs.CL2022★ 1 cited

Learning Disentangled Representations for Natural Language Definitions

Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang +1

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

cs.CL2022★ 1 cited

Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives

Alex Bogatu, Zili Zhou, Dónal Landers +1

Entailment trees have been proposed to simulate the human reasoning process of explanation generation in the context of open--domain textual question answering. However, in practic…