32 citations · 197 across the 43 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI
Marco Valentino, André Freitas
A fundamental research goal for Explainable AI (XAI) is to build models that are capable of reasoning through the generation of natural language explanations. However, the methodol…
A Survey in Mathematical Language Processing
Jordan Meadows, Andre Freitas
Informal mathematical text underpins real-world quantitative reasoning and communication. Developing sophisticated methods of retrieval and abstraction from this dual modality is c…
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
Mael Jullien, Marco Valentino, Andre Freitas
With the methodological support of probing (or diagnostic classification), recent studies have demonstrated that Transformers encode syntactic and semantic information to some exte…