Identifying Topic Shift and Topic Shading in Switchboard
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2018Author:
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Spillane, B., Gilmartin, E., Saam, C., Clark, L., Cowan, B.R. & Wade, V., Identifying Topic Shift and Topic Shading in Switchboard, UK Speech, Trinity College, Dublin, 25-26 June 2018, 2018, 44Abstract:
This paper highlights some of the ongoing work on the ADELE project, namely the identification and annotation of topic shift and topic shading in the Switchboard-1 Release-2 corpus. The purpose of this is to train an Artificial Neural Network to create a digital companion for the elderly that can communicate through informal,yet informed social dialogue, on a variety of topics of interest to a user over a prolonged time scale. To this end the project is focussing on topic shift and shading, the mechanisms which underpin the development of such conversations [6,8]. In the past, dialogue systems have predominantly focussed on practical tasks due to the complexity of modelling realistic everyday social talk [1]. With increasing awareness of the need for home robots and virtual home care agents to help assist in the provision of care for a rapidly ageing population, it is necessary to develop a more caring, involved, and personalised virtual care agent capable of such social dialogue.
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http://ukspeech.inf.ed.ac.uk/wp-content/uploads/2019/03/uk-speech-2018-abstract-book.pdfhttp://hdl.handle.net/2262/92479
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Science Foundation Ireland (SFI)
13/RC/2106
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http://people.tcd.ie/spillanbhttp://people.tcd.ie/vwade
Author: Spillane, Brendan; Wade, Vincent; Gilmartin, Emer; Saam, Christian; Clark, Leigh; Cowan, Benjamin R.
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UK SpeechType of material:
Conference PaperURI:
http://ukspeech.inf.ed.ac.uk/wp-content/uploads/2019/03/uk-speech-2018-abstract-book.pdfhttp://hdl.handle.net/2262/92479
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Full text availableKeywords:
Topic shift, Topic change, Spoken dialog systemSubject (TCD):
Creative Technologies , CORPUS , Topic Shading , Topic Transitions , topic changeMetadata
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