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Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective
Panesar, Kulvinder
Panesar, Kulvinder
Publication Date
2020-03
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Rights
© 2020 by the Authors. This is a draft version of a chapter in the book The age of Artificial Intelligence: an exploration edited by Gouveia SS published in 2020 by Vernon Press, link:https://vernonpress.com/book/935.
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Accepted for publication
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Abstract
This chapter encapsulates the multi-disciplinary nature that facilitates
NLP in AI and reports on a linguistically orientated conversational software
agent (CSA) (Panesar 2017) framework sensitive to natural language processing
(NLP), language in the agent environment. We present a novel computational approach of using the functional linguistic theory of Role and Reference Grammar (RRG) as the linguistic engine. Viewing language as action, utterances
change the state of the world, and hence speakers and hearer’s mental state
change as a result of these utterances. The plan-based method of discourse
management (DM) using the BDI model architecture is deployed, to support a
greater complexity of conversation. This CSA investigates the integration,
intersection and interface of the language, knowledge, speech act constructions
(SAC) as a grammatical object, and the sub-model of BDI and DM for NLP. We
present an investigation into the intersection and interface between our
linguistic and knowledge (belief base) models for both dialogue management
and planning. The architecture has three-phase models: (1) a linguistic model based on RRG; (2) Agent Cognitive Model (ACM) with (a) knowledge representation model employing conceptual graphs (CGs) serialised to Resource Description Framework (RDF); (b) a planning model underpinned by BDI concepts and intentionality and rational interaction; and (3) a dialogue model employing common ground. Use of RRG as a linguistic engine for the CSA was successful. We identify the complexity of the semantic gap of internal representations with details of a conceptual bridging solution.
Version
Accepted manuscript
Citation
Panesar K (2020) Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective. In: Gouveia SS (Ed.) The age of Artificial Intelligence: an exploration. Delaware: Vernon Press.
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Book chapter