Ian Turner

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Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract. Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive(More)
In this paper we demonstrate passive vision-based localization in environments more than two orders of magnitude darker than the current benchmark using a $100 webcam and a $500 camera. Our approach uses the camera's maximum exposure duration and sensor gain to achieve appropriately exposed images even in unlit night-time environments, albeit with extreme(More)
BACKGROUND AND AIMS There has been little previous work on the toughness of the laminae of monocots in tropical lowland rain forest (TLRF) despite the potential importance of greater toughness in inhibiting herbivory by invertebrates. Of 15 monocot families with >100 species in TLRF, eight have notably high densities of fibres in the lamina so that high(More)
This paper develops a framework for classifying term dependencies in query expansion with respect to the role terms play in structural linguistic associations. The framework is used to classify and compare the query expansion terms produced by the unigram and positional relevance models. As the unigram relevance model does not explicitly model term(More)
This paper develops and evaluates an enhanced corpus based approach for semantic processing. Corpus based models that build representations of words directly from text do not require pre-existing linguistic knowledge, and have demonstrated psychologically relevant performance on a number of cognitive tasks. However, they have been criticised in the past for(More)
This paper reports ongoing research and development in the EU-funded MIRROR project to support and enhance reflective learning and creative problem solving during the care of older people with dementia. The research has designed and implemented apps on mobile devices that support more direct capture of care information in situ and support creative thinking(More)
A user's query is considered to be an imprecise description of their information need. Automatic query expansion is the process of reformulating the original query with the goal of improving retrieval effectiveness. Many successful query expansion techniques ignore information about the dependencies that exist between words in natural language. However,(More)
This paper reports a new mobile software app to support creative thinking by carers for people with dementia. The design of the app was informed by both pre-studies that demonstrated the potential of investigating challenging behaviors in non-care domains to improve person-centered care, and a model of creative problem solving adapted to dementia care. The(More)
(2011) Tensor query expansion : a cognitively motivated relevance model. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract In information retrieval, a user's query is often not a(More)