Brandon Bennett
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View article: A community‐driven vision for a new knowledge resource for AI
A community‐driven vision for a new knowledge resource for AI Open
The long‐standing goal of creating a comprehensive, multi‐purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge resources like WordNet, ConceptNet, Wolfram|Alpha and other c…
View article: Increasing early childhood education enrolment and attendance rates in south Auckland, New Zealand
Increasing early childhood education enrolment and attendance rates in south Auckland, New Zealand Open
Tyler, J., Davies, M., & Bennett, B. (2018). Increasing early childhood education enrolment and attendance rates in south auckland, New Zealand. New Zealand International Research in Early Childhood Education, 21(1), 99-111.Link to full te…
View article: Ontology as Structure, Domain and Definition
Ontology as Structure, Domain and Definition Open
The paper presents a spatio-temporal ontology guided by a particular methodology, in which the semantics is constructed within a spatio-temporal interpretation structure that is built up in three stages. The first, stage stipulates a stand…
View article: Vagueness in Predicates and Objects
Vagueness in Predicates and Objects Open
Standard first-order logic interprets reference, predication and quantification in terms of fixed denotations with respect to a domain of precise objects. We explore ways to generalise this semantics to account for variability of meaning d…
View article: The performance of multiple language models in identifying offensive language on social media
The performance of multiple language models in identifying offensive language on social media Open
Text classification is an important topic in the field of natural language processing. It has been preliminarily applied in information retrieval, digital library, automatic abstracting, text filtering, word semantic discrimination and man…
View article: Vagueness in Predicates and Objects
Vagueness in Predicates and Objects Open
Classical semantics assumes that one can model reference, predication and quantification with respect to a fixed domain of precise referent objects. Non-logical terms and quantification are then interpreted directly in terms of elements an…
View article: Semantic Analysis of Winograd Schema No. 1
Semantic Analysis of Winograd Schema No. 1 Open
The Winograd Schema Challenge is a general test for Artificial Intelligence, based on problems of pronoun reference resolution. I investigate the semantics and interpretation of Winograd Schemas, concentrating on the original and most famo…
View article: Automated Common-sense Spatial Reasoning: Still a Huge Challenge
Automated Common-sense Spatial Reasoning: Still a Huge Challenge Open
Achieving “commonsense reasoning” capabilities has been one of the goals of AI since its inception. However, as Marcus and Davis have recently argued, “Common sense is not just the hardest problem for AI; in the long run, it’s also the mos…
View article: Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning Open
The Winograd Schema Challenge (WSC) is a commonsense reasoning task that requires background knowledge. In this paper, we contribute to tackling WSC in four ways. Firstly, we suggest a keyword method to define a restricted domain where dis…
View article: Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning Open
The Winograd Schema Challenge (WSC) is a commonsense reasoning task that requires background knowledge. In this paper, we contribute to tackling WSC in four ways. Firstly, we suggest a keyword method to define a restricted domain where dis…
View article: Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings
Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings Open
In cognitive accounts of concept learning and representation three modelling approaches provide methods for assessing typicality: rulebased, prototype and exemplar models. The prototype and exemplar models both rely on calculating a weight…
View article: Investigating the Dimensions of Spatial Language: A Preliminary Study
Investigating the Dimensions of Spatial Language: A Preliminary Study Open
In order to collect rich data on spatial prepositions, we have created a framework for gathering user annotations in 3D virtual environments. The framework is built using the Blender 3D modelling software and game engine. The framework ini…
View article: Retrieval Performance for Malay Quran
Retrieval Performance for Malay Quran Open
Information Retrieval (IR) plays an important role in retrieving information related to the user’s query. IR relies on finding relevant data from a set of knowledge resources, such as the Quran. Finding information from the Quran can be ba…
View article: Classification, Individuation and Demarcation of Forests: Formalising the Multi-Faceted Semantics of Geographic Terms
Classification, Individuation and Demarcation of Forests: Formalising the Multi-Faceted Semantics of Geographic Terms Open
Many papers have considered the problem of how to define forest. However, as we shall illustrate, while most definitions capture some important aspects of what it means to be a forest, they almost invariably omit or are very vague regardin…
View article: Semantic-based Ontology for Malay Qur'an Reader
Semantic-based Ontology for Malay Qur'an Reader Open
The Quran has been translated into various languages around the world by Muslim experts. One of them is in Malay. There are numerous applications built to facilitate the retrieval of knowledge from the Malay Qur’an. However, there are limi…
View article: Defining Relations: a general incremental approach with spatial temporal case studies
Defining Relations: a general incremental approach with spatial temporal case studies Open
This paper aims to lay a foundation for a systematic study of mechanisms for construction of definitions within a formal theory, by investigating operators for incremental construction of definitions of new relations from an existing set o…
View article: The Optimisation of Bayesian Classifier in Predictive Spatial Modelling for Secondary Mineral Deposits
The Optimisation of Bayesian Classifier in Predictive Spatial Modelling for Secondary Mineral Deposits Open
This paper discusses the general concept of Bayesian Network classifier and the optimisation of a predictive spatial model using Naive Bayes (NB) on secondary mineral deposit data. A different NB modelling approaches to mineral distributio…