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Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric representations of words to store semantic associations between words. Often word order information is not captured in these models. The lack of structural information used by these(More)
In information retrieval, a user’s query is often not a complete representation of their real information need. The user’s information need is a cognitive construction, however the use of cognitive models to perform query expansion have had little study. In this paper, we present a cognitively motivated query expansion technique that uses semantic features(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)
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)
OBJECTIVE To undertake a cost analysis of training medical scribes in an ED. METHODS This was a pilot, observational, single-centre study at Cabrini ED, Melbourne, Australia, studying the costs of initiating a scribe programme from the perspective of the hospital and Australian Health sector. Recruitment and training occurred between August 2015 and(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)