105 citations · 335 across the 21 of their papers we have counts for
3 papers · 1 filter
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes im…
A CCG-Based Version of the DisCoCat Framework
Richie Yeung, Dimitri Kartsaklis
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 on pr…
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis +2
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 present results on the f…