Modal linguistic summaries based on natural language equivalence with cognitive semantics

Katarzyniak, Radosław; Lorkiewicz, Wojciech; Więcek, Dominik

doi:10.1109/fskd.2016.7603360

Cited by 1 publication

(1 citation statement)

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“…Preliminary results for the analysis of this class of modal sentences, sometimes only partially in line with the paradigms of cognitive and interactive linguistics, were published elsewhere, e.g. [34,[43][44][45]. In this study we take into account additional elements, conceptual and theoretical, that increase the degree of consistency between the commonsense semantics of natural language equivalence-based modal statements and their technical counterparts of our interest.…”

Section: Introductionmentioning

confidence: 99%

Some Notes on Extracting Linguistic Summaries Built with Epistemic Modalities and Natural Language Connectives of Equivalence

Katarzyniak

Lorkiewicz

Więcek

2017

CMST

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In this paper we deal with an original technically oriented model for cognitive semantics. As the expected area of application we focus on the process of extraction of modal linguistic summaries from data managed by autonomous components of ambient systems and intelligent environments. As such, the cognitive semantics is defined for a particular case of modal natural language statements with epistemic modalities. The statements of interest are built with natural language operators, representing epistemic modalities (related to the main cognitive states of knowledge certainty: full certainty, strong belief and epistemic possibility), and natural language connectives of equivalence. Furthermore, an approach to their effective processing by autonomous computational systems is designed. An internal architecture of the autonomous computational component is designed with respect to modular model for natural language processing with separate modules for epistemic and semantic memory storage and processing. An original theoretical concept underlying the model of semantic memory is a holon defined as a collection of complementary linguistic protoforms. Finally, we provide several illustrative computational examples of linguistic summaries' extraction, based on artificial and real data.

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Section: Introductionmentioning

confidence: 99%