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Panesar, Kulvinder 
ORCID: https://orcid.org/0000-0002-4523-7218
(2020)
Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective.
In: Gouveia, Steven S., (ed.)
The Age of Artificial Intelligence: An Exploration.
Vernon Press
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Text (Book chapter proposal)
NLP in AI Abstract BkChpter KulvinderPanesar 14-6-18.pdf - Accepted Version | Preview |
Abstract
This chapter encapsulates the multi-disciplinary nature that facilitates NLP in AI. It identifies work of a linguistically orientated conversational software agent (CSA) (Panesar, 2017) framework sensitive to natural language processing (NLP) concepts, language and the agent environment. A long-standing issue within NLP CSA systems is refining the accuracy of interpretation to provide realistic dialogue to support the human-to-computer communication. Motivated by this, we present novel computational approach of using Role and Reference Grammar (RRG) – a strong, mature, functional linguistic theory as the linguistic engine of a perceiving utterances (via speech act performatives), for further integration, cognitive manipulation and planning to create a grammatical correct RRG based response.
| Item Type: | Book Section |
|---|---|
| Additional Information: | “This is a draft version of a chapter proposal for the book The Age of Artificial Intelligence: An Exploration edited by Steven S. Gouveia published in 2020 by Vernon Press, link: https://vernonpress.com/book/935” |
| Status: | Published |
| Subjects: | A General Works > AS Academies and learned societies (General) |
| School/Department: | School of Science, Technology and Health |
| URI: | https://ray.yorksj.ac.uk/id/eprint/3406 |
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