Show simple item record

dc.contributor.authorPanesar, Kulvinder
dc.date.accessioned2020-10-07T15:52:19Z
dc.date.accessioned2020-10-26T15:13:15Z
dc.date.available2020-10-07T15:52:19Z
dc.date.available2020-10-26T15:13:15Z
dc.date.issued2019-11
dc.identifier.citationPanesar K (2019) Functional linguistic based motivations for a conversational software agent. In: Diedrichsen E and Nolan B (Eds.) Linguistic perspectives on the construction of meaning and knowledge. Cambridge: Cambridge Scholars Publishing.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18134
dc.descriptionNoen_US
dc.description.abstractThis chapter discusses a linguistically orientated model of a conversational software agent (CSA) (Panesar 2017) framework sensitive to natural language processing (NLP) concepts and the levels of adequacy of a functional linguistic theory (LT). We discuss the relationship between NLP and knowledge representation (KR), and connect this with the goals of a linguistic theory (Van Valin and LaPolla 1997), in particular Role and Reference Grammar (RRG) (Van Valin Jr 2005). We debate the advantages of RRG and consider its fitness and computational adequacy. We present a design of a computational model of the linking algorithm that utilises a speech act construction as a grammatical object (Nolan 2014a, Nolan 2014b) and the sub-model of belief, desire and intentions (BDI) (Rao and Georgeff 1995). This model has been successfully implemented in software, using the resource description framework (RDF), and we highlight some implementation issues that arose at the interface between language and knowledge representation (Panesar 2017).en_US
dc.language.isoenen_US
dc.publisherCambridge Scholars Publishing
dc.relation.isreferencedbyhttps://www.cambridgescholars.com/linguistic-perspectives-on-the-construction-of-meaning-and-knowledgeen_US
dc.rights© 2019 Cambridge Scholars Publishing. Reproduced in accordance with the publisher's self-archiving policy. Published with permission of Cambridge Scholars Publishing.
dc.subjectLinguistic based motivationsen_US
dc.subjectConversational software agent (CSA)en_US
dc.subjectNatural language processing (NLP) conceptsen_US
dc.subjectKnowledge representation (KR)en_US
dc.titleFunctional linguistic based motivations for a conversational software agenten_US
dc.status.refereedYesen_US
dc.date.application2019
dc.typeBook chapteren_US
dc.date.EndofEmbargo2024-09-27
dc.type.versionAccepted Manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 27 Sep 2024.
dc.date.updated2020-10-07T14:52:21Z
refterms.dateFOA2020-10-26T15:14:11Z


Item file(s)

Thumbnail
Name:
CSPBookchapter15-DrKPanesar14- ...
Embargo:
2024-09-27
Size:
1010.Kb
Format:
PDF
Description:
Panesar_Cambridge_Scholars_Pub ...
Thumbnail
Name:
Permission_letter.pdf
Size:
57.19Kb
Format:
PDF
Description:
To keep suppressed

This item appears in the following Collection(s)

Show simple item record