22 citations · 63 across the 18 of their papers we have counts for
5 papers · 1 filter
Learning Complex Word Embeddings in Classical and Quantum Spaces
Carys Harvey, Stephen Clark, Douglas Brown +1
We present a variety of methods for training complex-valued word embeddings, based on the classical Skip-gram model, with a straightforward adaptation simply replacing the real-val…
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…
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…
Quantum Natural Language Processing on Near-Term Quantum Computers
Konstantinos Meichanetzidis, Stefano Gogioso, Giovanni de Felice +3
In this work, we describe a full-stack pipeline for natural language processing on near-term quantum computers, aka QNLP. The language-modelling framework we employ is that of comp…
Functorial Question Answering
Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi
Distributional compositional (DisCo) models are functors that compute the meaning of a sentence from the meaning of its words. We show that DisCo models in the category of sets and…