2,039 research outputs found
A first-order logic for string diagrams
Equational reasoning with string diagrams provides an intuitive means of
proving equations between morphisms in a symmetric monoidal category. This can
be extended to proofs of infinite families of equations using a simple
graphical syntax called !-box notation. While this does greatly increase the
proving power of string diagrams, previous attempts to go beyond equational
reasoning have been largely ad hoc, owing to the lack of a suitable logical
framework for diagrammatic proofs involving !-boxes. In this paper, we extend
equational reasoning with !-boxes to a fully-fledged first order logic called
with conjunction, implication, and universal quantification over !-boxes. This
logic, called !L, is then rich enough to properly formalise an induction
principle for !-boxes. We then build a standard model for !L and give an
example proof of a theorem for non-commutative bialgebras using !L, which is
unobtainable by equational reasoning alone.Comment: 15 pages + appendi
A Generalised Quantifier Theory of Natural Language in Categorical Compositional Distributional Semantics with Bialgebras
Categorical compositional distributional semantics is a model of natural
language; it combines the statistical vector space models of words with the
compositional models of grammar. We formalise in this model the generalised
quantifier theory of natural language, due to Barwise and Cooper. The
underlying setting is a compact closed category with bialgebras. We start from
a generative grammar formalisation and develop an abstract categorical
compositional semantics for it, then instantiate the abstract setting to sets
and relations and to finite dimensional vector spaces and linear maps. We prove
the equivalence of the relational instantiation to the truth theoretic
semantics of generalised quantifiers. The vector space instantiation formalises
the statistical usages of words and enables us to, for the first time, reason
about quantified phrases and sentences compositionally in distributional
semantics
Compositional Distributional Semantics with Compact Closed Categories and Frobenius Algebras
This thesis contributes to ongoing research related to the categorical
compositional model for natural language of Coecke, Sadrzadeh and Clark in
three ways: Firstly, I propose a concrete instantiation of the abstract
framework based on Frobenius algebras (joint work with Sadrzadeh). The theory
improves shortcomings of previous proposals, extends the coverage of the
language, and is supported by experimental work that improves existing results.
The proposed framework describes a new class of compositional models that find
intuitive interpretations for a number of linguistic phenomena. Secondly, I
propose and evaluate in practice a new compositional methodology which
explicitly deals with the different levels of lexical ambiguity (joint work
with Pulman). A concrete algorithm is presented, based on the separation of
vector disambiguation from composition in an explicit prior step. Extensive
experimental work shows that the proposed methodology indeed results in more
accurate composite representations for the framework of Coecke et al. in
particular and every other class of compositional models in general. As a last
contribution, I formalize the explicit treatment of lexical ambiguity in the
context of the categorical framework by resorting to categorical quantum
mechanics (joint work with Coecke). In the proposed extension, the concept of a
distributional vector is replaced with that of a density matrix, which
compactly represents a probability distribution over the potential different
meanings of the specific word. Composition takes the form of quantum
measurements, leading to interesting analogies between quantum physics and
linguistics.Comment: Ph.D. Dissertation, University of Oxfor
Graphical Methods in Device-Independent Quantum Cryptography
We introduce a framework for graphical security proofs in device-independent
quantum cryptography using the methods of categorical quantum mechanics. We are
optimistic that this approach will make some of the highly complex proofs in
quantum cryptography more accessible, facilitate the discovery of new proofs,
and enable automated proof verification. As an example of our framework, we
reprove a previous result from device-independent quantum cryptography: any
linear randomness expansion protocol can be converted into an unbounded
randomness expansion protocol. We give a graphical proof of this result, and
implement part of it in the Globular proof assistant.Comment: Publishable version. Diagrams have been polished, minor revisions to
the text, and an appendix added with supplementary proof
Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics
This thesis is about the problem of compositionality in distributional
semantics. Distributional semantics presupposes that the meanings of words are
a function of their occurrences in textual contexts. It models words as
distributions over these contexts and represents them as vectors in high
dimensional spaces. The problem of compositionality for such models concerns
itself with how to produce representations for larger units of text by
composing the representations of smaller units of text.
This thesis focuses on a particular approach to this compositionality
problem, namely using the categorical framework developed by Coecke, Sadrzadeh,
and Clark, which combines syntactic analysis formalisms with distributional
semantic representations of meaning to produce syntactically motivated
composition operations. This thesis shows how this approach can be
theoretically extended and practically implemented to produce concrete
compositional distributional models of natural language semantics. It
furthermore demonstrates that such models can perform on par with, or better
than, other competing approaches in the field of natural language processing.
There are three principal contributions to computational linguistics in this
thesis. The first is to extend the DisCoCat framework on the syntactic front
and semantic front, incorporating a number of syntactic analysis formalisms and
providing learning procedures allowing for the generation of concrete
compositional distributional models. The second contribution is to evaluate the
models developed from the procedures presented here, showing that they
outperform other compositional distributional models present in the literature.
The third contribution is to show how using category theory to solve linguistic
problems forms a sound basis for research, illustrated by examples of work on
this topic, that also suggest directions for future research.Comment: DPhil Thesis, University of Oxford, Submitted and accepted in 201
Pictures of Processes: Automated Graph Rewriting for Monoidal Categories and Applications to Quantum Computing
This work is about diagrammatic languages, how they can be represented, and
what they in turn can be used to represent. More specifically, it focuses on
representations and applications of string diagrams. String diagrams are used
to represent a collection of processes, depicted as "boxes" with multiple
(typed) inputs and outputs, depicted as "wires". If we allow plugging input and
output wires together, we can intuitively represent complex compositions of
processes, formalised as morphisms in a monoidal category.
[...] The first major contribution of this dissertation is the introduction
of a discretised version of a string diagram called a string graph. String
graphs form a partial adhesive category, so they can be manipulated using
double-pushout graph rewriting. Furthermore, we show how string graphs modulo a
rewrite system can be used to construct free symmetric traced and compact
closed categories on a monoidal signature.
The second contribution is in the application of graphical languages to
quantum information theory. We use a mixture of diagrammatic and algebraic
techniques to prove a new classification result for strongly complementary
observables. [...] We also introduce a graphical language for multipartite
entanglement and illustrate a simple graphical axiom that distinguishes the two
maximally-entangled tripartite qubit states: GHZ and W. [...]
The third contribution is a description of two software tools developed in
part by the author to implement much of the theoretical content described here.
The first tool is Quantomatic, a desktop application for building string graphs
and graphical theories, as well as performing automated graph rewriting
visually. The second is QuantoCoSy, which performs fully automated,
model-driven theory creation using a procedure called conjecture synthesis.Comment: PhD Thesis. Passed examination. Minor corrections made and one
theorem added at the end of Chapter 5. 182 pages, ~300 figures. See full text
for unabridged abstrac
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