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Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective

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

Text (Book chapter proposal)
NLP in AI Abstract BkChpter KulvinderPanesar 14-6-18.pdf - Accepted Version

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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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