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Found 43 papers, 9 papers with code
Distilling Text into Circuits
When passing to DisCoCirc's text circuits, some `grammatical bureaucracy' is eliminated, that is, DisCoCirc displays a significant degree of (7) inter- and intra-language independence.
Language-independence of DisCoCirc's Text Circuits: English and Urdu
There is a simple translation from English grammar to Urdu grammar, and vice versa.
A Quantum Natural Language Processing Approach to Musical Intelligence
In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat) modelling framework for Natural Language Processing (NLP), motivated by musical grammars.
Compositionality as we see it, everywhere around us
Inspired by work on compositionality in quantum theory, and categorical quantum mechanics in particular, we propose the notions of Schrodinger, Whitehead, and complete compositionality.
lambeq: An Efficient High-Level Python Library for Quantum NLP
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP).
Talking Space: inference from spatial linguistic meanings
We also how how linguistic model of space can interact with other such models related to our senses and/or embodiment, such as the conceptual spaces of colour, taste and smell, resulting in a rich compositional model of meaning that is close to human experience and embodiment in the world.
Composing Conversational Negation
Negation in natural language does not follow Boolean logic and is therefore inherently difficult to model.
How to make qubits speak
This is a story about making quantum computers speak, and doing so in a quantum-native, compositional and meaning-aware manner.
Reasoning about conscious experience with axiomatic and graphical mathematics
We cast aspects of consciousness in axiomatic mathematical terms, using the graphical calculus of general process theories (a. k. a symmetric monoidal categories and Frobenius algebras therein).
Grammar Equations
Diagrammatically speaking, grammatical calculi such as pregroups provide wires between words in order to elucidate their interactions, and this enables one to verify grammatical correctness of phrases and sentences.
Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning
Because QA4ML users have to view a non-trivial amount of data and perform many input actions to correct errors made by the ML model, an optimally-designed user interface (UI) can reduce the cost of interactions significantly.
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Our aim in doing this is to take the first small steps in this unexplored research territory and pave the way for practical Quantum Natural Language Processing.
Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)
This paper is a `spiritual child' of the 2005 lecture notes Kindergarten Quantum Mechanics, which showed how a simple, pictorial extension of Dirac notation allowed several quantum features to be easily expressed and derived, using language even a kindergartner can understand.
Foundations for Near-Term Quantum Natural Language Processing
We recall how the quantum model for natural language that we employ canonically combines linguistic meanings with rich linguistic structure, most notably grammar.
Grammar-aware sentence classification on quantum computers
In this work, we focus on the capabilities of noisy intermediate-scale quantum (NISQ) hardware and perform the first implementation of an NLP task on a NISQ processor, using the DisCoCat framework.
Proceedings Applied Category Theory 2019
Applied Category Theory is a new conference series.
Logic in Computer Science
Quantum Natural Language Processing on Near-Term Quantum Computers
In this work, we describe a full-stack pipeline for natural language processing on near-term quantum computers, aka QNLP.
DisCoPy: Monoidal Categories in Python
We introduce DisCoPy, an open source toolbox for computing with monoidal categories.
Category Theory
Meaning updating of density matrices
This result is of interest to quantum foundations, as it bridges the work in Categorical Quantum Mechanics (CQM) with that on conditional quantum states.
The Mathematics of Text Structure
While in DisCoCat all meanings are fixed as states (i. e. have no input), in DisCoCirc word meanings correspond to a type, or system, and the states of this system can evolve.
Towards Compositional Distributional Discourse Analysis
Categorical compositional distributional semantics provide a method to derive the meaning of a sentence from the meaning of its individual words: the grammatical reduction of a sentence automatically induces a linear map for composing the word vectors obtained from distributional semantics.
Internal Wiring of Cartesian Verbs and Prepositions
Categorical compositional distributional semantics (CCDS) allows one to compute the meaning of phrases and sentences from the meaning of their constituent words.
Proceedings of the 2018 Workshop on Compositional Approaches in Physics, NLP, and Social Sciences
Moreover, the interaction between the three disciplines of cognitive science, linguistics and game theory is a fertile ground for research.
Interacting Conceptual Spaces I : Grammatical Composition of Concepts
We show how this approach can be generalized to conceptual space models of cognition.
Compositional Distributional Cognition
We accommodate the Integrated Connectionist/Symbolic Architecture (ICS) of [32] within the categorical compositional semantics (CatCo) of [13], forming a model of categorical compositional cognition (CatCog).
Interacting Conceptual Spaces
We propose applying the categorical compositional scheme of [6] to conceptual space models of cognition.
Dual Density Operators and Natural Language Meaning
We demonstrate the use of dual density operators within a grammatical-compositional distributional framework for natural language meaning.
Quantum Algorithms for Compositional Natural Language Processing
We address the value of quantum RAM (Giovannetti, 2008) for this model and extend an algorithm from Wiebe, Braun and Lloyd (2012) into a quantum algorithm to categorize sentences in CSC.
From quantum foundations via natural language meaning to a theory of everything
In this paper we argue for a paradigmatic shift from `reductionism' to `togetherness'.
Harmonic Grammar in a DisCo Model of Meaning
The model of cognition developed in (Smolensky and Legendre, 2006) seeks to unify two levels of description of the cognitive process: the connectionist and the symbolic.
Graded Entailment for Compositional Distributional Semantics
In this paper we solve the problem of entailment for categorical compositional distributional semantics.
A Compositional Explanation of the Pet Fish Phenomenon
The `pet fish' phenomenon is often cited as a paradigm example of the `non-compositionality' of human concept use.
Distributional Sentence Entailment Using Density Matrices
Categorical compositional distributional model of Coecke et al. (2010) suggests a way to combine grammatical composition of the formal, type logical models with the corpus based, empirical word representations of distributional semantics.
Open System Categorical Quantum Semantics in Natural Language Processing
Moreover, just like CQM allows for varying the model in which we interpret quantum axioms, one can also vary the model in which we interpret word meaning.
Proceedings of the 11th workshop on Quantum Physics and Logic
The first QPL under the new name Quantum Physics and Logic was held in Reykjavik (2008), followed by Oxford (2009 and 2010), Nijmegen (2011), Brussels (2012) and Barcelona (2013).
The Frobenius anatomy of word meanings II: possessive relative pronouns
Within the categorical compositional distributional model of meaning, we provide semantic interpretations for the subject and object roles of the possessive relative pronoun `whose'.
The Frobenius anatomy of word meanings I: subject and object relative pronouns
This paper develops a compositional vector-based semantics of subject and object relative pronouns within a categorical framework.
Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras
They also provide semantics for Lambek's pregroup algebras, applied to formalizing the grammatical structure of natural language, and are implicit in a distributional model of word meaning based on vector spaces.
An alternative Gospel of structure: order, composition, processes
We survey some basic mathematical structures, which arguably are more primitive than the structures taught at school.
A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure
We discuss an algorithm which produces the meaning of a sentence given meanings of its words, and its resemblance to quantum teleportation.
The logic of quantum mechanics - Take II
We put forward a new take on the logic of quantum mechanics, following Schroedinger's point of view that it is composition which makes quantum theory what it is, rather than its particular propositional structure due to the existence of superpositions, as proposed by Birkhoff and von Neumann.
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, for which we rely on the algebra of Pregroups, introduced by Lambek.
