Foundations for near-term quantum natural language processing
We provide conceptual and mathematical foundations for near-term quantum natural
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …
DisCoPy: Monoidal categories in python
We introduce DisCoPy, an open source toolbox for computing with monoidal categories. The
library provides an intuitive syntax for defining string diagrams and monoidal functors. Its …
library provides an intuitive syntax for defining string diagrams and monoidal functors. Its …
Towards compositional interpretability for xai
Artificial intelligence (AI) is currently based largely on black-box machine learning models
which lack interpretability. The field of eXplainable AI (XAI) strives to address this major …
which lack interpretability. The field of eXplainable AI (XAI) strives to address this major …
Distilling text into circuits
This paper concerns the structure of meanings within natural language. Earlier, a framework
named DisCoCirc was sketched that (1) is compositional and distributional (aka …
named DisCoCirc was sketched that (1) is compositional and distributional (aka …
[HTML][HTML] A compositional model of consciousness based on consciousness-only
Scientific studies of consciousness rely on objects whose existence is assumed to be
independent of any consciousness. On the contrary, we assume consciousness to be …
independent of any consciousness. On the contrary, we assume consciousness to be …
Category theory for quantum natural language processing
A Toumi - arxiv preprint arxiv:2212.06615, 2022 - arxiv.org
This thesis introduces quantum natural language processing (QNLP) models based on a
simple yet powerful analogy between computational linguistics and quantum mechanics …
simple yet powerful analogy between computational linguistics and quantum mechanics …
Compositionality as we see it, everywhere around us
B Coecke - The Quantum-Like Revolution: A Festschrift for Andrei …, 2023 - Springer
There are different meanings of the term “compositionality” within science: what one
researcher would call compositional, is not at all compositional for another researcher. The …
researcher would call compositional, is not at all compositional for another researcher. The …
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models
In this article we present a new modelling framework for structured concepts using a
category-theoretic generalisation of conceptual spaces, and show how the conceptual …
category-theoretic generalisation of conceptual spaces, and show how the conceptual …
Meaning updating of density matrices
The DisCoCat model of natural language meaning assigns meaning to a sentence given:(i)
the meanings of its words, and,(ii) its grammatical structure. The recently introduced …
the meanings of its words, and,(ii) its grammatical structure. The recently introduced …
Breaking free transformer models: task-specific context attribution promises improved generalizability without fine-tuning pre-trained LLMs
Fine-tuning large pre-trained language models (LLMs) on particular datasets is a commonly
employed strategy in Natural Language Processing (NLP) classification tasks. However, this …
employed strategy in Natural Language Processing (NLP) classification tasks. However, this …