Abstract Quantum Natural Language Processing (QNLP) deals with the design and
implementation of NLP models intended to be run on quantum hardware. In this paper, we …

While the DisCoCat model (Coecke et al., 2010) has been proved a valuable tool for
studying compositional aspects of language at the level of semantics, its strong dependency …

Distributional semantic models have become a mainstay in NLP, providing useful features
for downstream tasks. However, assessing long-term progress requires explicit long-term …

Words can have multiple senses. Compositional distributional models of meaning have
been argued to deal well with finer shades of meaning variation known as polysemy, but are …

In distributional compositional models of meaning logical words require special
interpretations, that specify the way in which other words in the sentence interact with each …

Cet article propose un état de l'art des travaux d'informatique quantique pour le traitement
automatique des langues (TAL). Leur objectif est d'améliorer les performances des modèles …

Finding a full solution to logical puzzles, from parsing the text to arriving at the answer, forms
an active area of research in artificial intelligence. In this paper, we address an initial subset …

This paper proposes a novel concept within Quantum Natural Language Processing (QNLP)
to encode the interpersonal metafunction of Systemic Functional Linguistics (SFL) …