Sheila Garfield

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Our objective is spoken-language classification for helpdesk call routing using a scanning understanding and intelligent-system techniques. In particular, we examine simple recurrent networks, support-vector machines and finite-state transducers for their potential in this spoken-language-classification task and we describe an approach to classification of(More)
The bioscience field has seen some spectacular advances in genomic and proteomic technologies that are able to deliver vast quantities of information on cellular activity. Such technologies are of critical importance to biology, medical science and in drug discovery. However, living systems are highly complex and in order to fully exploit these technologies(More)
In this paper we describe an approach for spoken language analysis for helpdesk call routing using a combination of simple recurrent networks and support vector machines. In particular we examine this approach for its potential in a difficult spoken language classification task based on recorded operator assistance telephone utterances. We explore simple(More)
The JISC funded IRIOS (Integrated Research Input and Output System) project developed a demonstrator integrating research information input (projects) and output (publications) datasets allowing data to be linked and exported in CERIF format. C4D (CERIF for Datasets), extends this platform to manage research datasets as outputs from research projects.(More)
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Bayesian network trained on protein interaction data. We can automatically generate a biological ontology by text mining the type II diabetes research literature. The ontology is(More)
An understanding of language processing in humans is critical if realistic computerised systems are to be produced to perform various language operations. The examination of aphasia in individuals has provided a large amount of information on the organisation of language processing, with particular reference to the regions in the brain where processing(More)
This paper describes new experiments for the classification of recorded operator assistance telephone utterances. The experimental work focused on three techniques: support vector machines (SVM), simple recurrent networks (SRN) and finite-state transducers (FST) using a large, unique telecommunication corpus of spontaneous spoken language. A comparison is(More)
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Bayesian network trained on protein interaction data. We can automatically generate a biological ontology by text mining the type II diabetes research literature. The ontology is(More)