Computer Science (Scholarly Publications): Recent submissions
Now showing items 141-160 of 1420
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Adapting an agent-based model of infectious disease spread in an Irish county to COVID-19
(2021)The dynamics that lead to the spread of an infectious disease through a population can be characterized as a complex system. One way to model such a system, in order to improve preparedness, and learn more about how an ... -
Using a hybrid agent-based and equation based model to test school closure policies during a measles outbreak
(2021)In order to be prepared for an infectious disease outbreak it is important to know what interventions will or will not have an impact on reducing the outbreak. While some interventions might have a greater effect in ... -
Capturing and measuring thematic relatedness
(2020)In this paper we explain the difference between two aspects of semantic relatedness: taxonomic and thematic relations. We notice the lack of evaluation tools for measuring thematic relatedness, identify two datasets that ... -
A model for the spread of infectious diseases in a region
(2020)In understanding the dynamics of the spread of an infectious disease, it is important to understand how a town’s place in a network of towns within a region will impact how the disease spreads to that town and from that ... -
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures
(2020)We present an approach to design the grid searches for hyper-parameter optimization for recurrent neural architectures. The basis for this approach is the use of mutual information to analyze long distance dependencies ... -
F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models
(2020)In recent years many multi-label classification methods have exploited label dependencies to improve performance of classification tasks in various domains, hence casting the tasks to structured prediction problems. We ... -
Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue
(2020)In this paper we examine how people assign, interpret, negotiate and repair the frame of reference (FoR) in online text-based dialogues discussing spatial scenes in English and Swedish. We describe our corpus and data ... -
Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection
(2020)First Story Detection (FSD) requires a system to detect the very first story that mentions an event from a stream of stories. Nearest neighbour-based models, using the traditional term vector document representations like ... -
Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
(2020)This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range ... -
Language Model Co-occurrence Linking for Interleaved Activity Discovery
(2020)As ubiquitous computer and sensor systems become abundant, the potential for automatic identification and tracking of human behaviours becomes all the more evident. Annotating complex human behaviour datasets to achieve ... -
Hobbit: A Tool for Contextual Equivalence Checking Using Bisimulation Up-to Techniques
(2021)We present a bounded equivalence verification tool called Hobbit for higher-order programs with local state—based on a subset of OCaml—that combines fully abstract symbolic environmental bisimulations, novel up-to techniques, ... -
From Bounded Checking to Verification of Equivalence via Symbolic Up-to Techniques
(Springer, 2022)We present a bounded equivalence verification technique for higher-order programs with local state. This technique combines fully abstract symbolic environmental bisimulations similar to symbolic game semantics, novel up-to ... -
Standardization and the Governance of Artificial Intelligence Standards
(Springer, 2021)The topic of trustworthy Artificial Intelligence (AI) has attracted wide attention from governments, companies and international bodies as they strive to address the ethical and societal risks that emerge as performance ... -
Consent Recipts for a Usage And Auditable Web of Personal Data
(2022)Consenting on the Web, in the context of online privacy and data protection, is universally accepted as a difficult problem, mainly because of its cross-disciplinarity. For example, any approach to online Consenting needs ... -
Finally a Case for Collaborative VR?: The Need to Design for Remote Multi-Party Conversations
(2020)Amid current social distancing measures requiring people to work from home, there has been renewed interest on how to effectively converse and collaborate remotely utilizing currently available technologies. On the ... -
Findings of the 2021 Conference on Machine Translation (WMT21)
(Association for Computational Linguistics, 2021)This paper presents the results of the news translation task, the multilingual low-resource translation for Indo-European languages, the triangular translation task, and the automatic post-editing task organised as part ... -
Human Evaluation of NLP Systems Workshop
(Association for Computational Linguistics, 2021)Human evaluation plays an important role in NLP, from the large-scale crowd-sourced evaluations to the much smaller experiments routinely encountered in conference papers. With this workshop we wish to create a forum for ... -
Improving Unsupervised Question Answering via Summarization-Informed Question Generation
(Association for Computational Linguistics, 2021)Question Generation (QG) is the task of generating a plausible question for a given <passage, answer> pair. Template-based QG uses linguistically-informed heuristics to transform declarative sentences into interrogatives, ... -
Supporting Design for User Acceptance of Health Technologies from a Macro-Temporal Perspective
(2022)User acceptance is key for the successful uptake and use of health technologies, but also impacted by numerous factors not always easily accessible nor operationalised by designers in practice. This work seeks to ... -
Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity
(2021)Multi-modal journey planning for large numbers of simultaneous travellers is a challenging prob- lem, particularly in the presence of limited transportation capacity. Fundamental trade-offs exist between balancing the ...
