activity
20182022
most citedFoundations for Near-Term Quantum Natural Language Processing

22 citations · 40 across the 6 of their papers we have counts for

collaborators

12 papers

quant-ph20223 cited

DisCoPy for the quantum computer scientist

Alexis Toumi, Giovanni de Felice, Richie Yeung

DisCoPy (Distributional Compositional Python) is an open source toolbox for computing with string diagrams and functors. In particular, the diagram data structure allows to encode…

cs.LO20211 cited

Anaphora and Ellipsis in Lambek Calculus with a Relevant Modality: Syntax and Semantics

Lachlan McPheat, Gijs Wijnholds, Mehrnoosh Sadrzadeh +2

Lambek calculus with a relevant modality of arXiv:1601.06303 syntactically resolves parasitic gaps in natural language. It resembles the Lambek calculus with anapho…

cs.CL20219 cited

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…

quant-ph2021

How to make qubits speak

Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis +1

This is a story about making quantum computers speak, and doing so in a quantum-native, compositional and meaning-aware manner. Recently we did question-answering with an actual qu…

cs.CL20211 cited

Functorial Language Models

Alexis Toumi, Alex Koziell-Pipe

We introduce functorial language models: a principled way to compute probability distributions over word sequences given a monoidal functor from grammar to meaning. This yields a m…

quant-ph2021

Diagrammatic Differentiation for Quantum Machine Learning

Alexis Toumi, Richie Yeung, Giovanni de Felice

We introduce diagrammatic differentiation for tensor calculus by generalising the dual number construction from rigs to monoidal categories. Applying this to ZX diagrams, we show h…