Search Results for author: Luke Dickens

Found 10 papers, 0 papers with code

Unsupervised Learning of Graph from Recipes

no code implementations22 Jan 2024 Aissatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

We iteratively learn the graph structure and the parameters of a $\mathsf{GNN}$ encoding the texts (text-to-graph) one sequence at a time while providing the supervision by decoding the graph into text (graph-to-text) and comparing the generated text to the input.

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes

no code implementations12 Jan 2024 Aissatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

Decoding the core of procedural texts, exemplified by cooking recipes, is crucial for intelligent reasoning and instruction automation.

Text Generation

A Graphical Formalism for Commonsense Reasoning with Recipes

no code implementations15 Jun 2023 Antonis Bikakis, Aissatou Diallo, Luke Dickens, Anthony Hunter, Rob Miller

Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework.

Automatic Concept Extraction for Concept Bottleneck-based Video Classification

no code implementations21 Jun 2022 Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez Echavarria, Joseph Noor, Alessandra Russo, Lance Kaplan, Erik Blasch, Mani Srivastava

CoDEx identifies a rich set of complex concept abstractions from natural language explanations of videos-obviating the need to predefine the amorphous set of concepts.

Classification Video Classification

Coherent and Consistent Relational Transfer Learning with Autoencoders

no code implementations29 Sep 2021 Harald Stromfelt, Luke Dickens, Artur Garcez, Alessandra Russo

Human defined concepts are inherently transferable, but it is not clear under what conditions they can be modelled effectively by non-symbolic artificial learners.

Relation Transfer Learning

Repurposing of Resources: from Everyday Problem Solving through to Crisis Management

no code implementations17 Sep 2021 Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

Repurposing arises in everyday situations such as finding substitutes for missing ingredients when cooking, or for unavailable tools when doing DIY.

Management

On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision

no code implementations13 Nov 2020 Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez, Alessandra Russo

We propose a new model for relational VAE semi-supervision capable of balancing disentanglement and low complexity modelling of relations with different symbolic properties.

Disentanglement Transfer Learning

On the Effects of Knowledge-Augmented Data in Word Embeddings

no code implementations5 Oct 2020 Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens, Rob Miller, Andreas Vlachidis

This paper investigates techniques for knowledge injection into word embeddings learned from large corpora of unannotated data.

Data Augmentation text-classification +2

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems

no code implementations7 Mar 2019 Ekaterina Abramova, Luke Dickens, Daniel Kuhn, Aldo Faisal

We show that a small number of locally optimal linear controllers are able to solve global nonlinear control problems with unknown dynamics when combined with a reinforcement learner in this hierarchical framework.

Continuous Control Hierarchical Reinforcement Learning +3

Foundations for a Probabilistic Event Calculus

no code implementations20 Mar 2017 Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller

We also describe an ASP implementation of PEC and show the sense in which this is sound and complete.

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