Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AFEQAFK7G" target="_blank" >RIV/00216208:11320/23:FEQAFK7G - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/23:NK8VB2V7

Result on the web

<a href="https://www.cambridge.org/core/journals/natural-language-engineering/article/abs/construction-grammar-conceptual-network-coordinationbased-graph-method-for-semantic-association-analysis/7448FF3140B6282C2691F32A80BC15AE" target="_blank" >https://www.cambridge.org/core/journals/natural-language-engineering/article/abs/construction-grammar-conceptual-network-coordinationbased-graph-method-for-semantic-association-analysis/7448FF3140B6282C2691F32A80BC15AE</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1017/S1351324922000274" target="_blank" >10.1017/S1351324922000274</a>

Result language

angličtina

Original language name

Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis

Original language description

"In this article, we present the Construction Grammar Conceptual Network method, developed for identifying lexical similarity and word sense discrimination in a syntactically tagged corpus, based on the cognitive linguistic assumption that coordination construction instantiates conceptual relatedness. This graph analysis method projects a semantic value onto a given coordinated syntactic dependency and constructs a second-order lexical network of lexical collocates with a high co-occurrence measure. The subsequent process of clustering and pruning the graph reveals lexical communities with high conceptual similarity, which are interpreted as associated senses of the source lexeme. We demonstrate the theory and its application to the task of identifying the conceptual structure and different meanings of nouns, adjectives and verbs using examples from different corpora, and explain the modulating effects of linguistic and graph parameters. This graph approach is based on syntactic dependency processing and can be used as a complementary method to other contemporary natural language processing resources to enrich semantic tasks such as word disambiguation, domain relatedness, sense structure, identification of synonymy, metonymy, and metaphoricity, as well as to automate comprehensive meta-reasoning about languages and identify cross/intra-cultural discourse variations of prototypical conceptualization patterns and knowledge representations. As a contribution, we provide a web-based app at http://emocnet.uniri.hr/."

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Natural Language Engineering"

ISSN

1351-3249

e-ISSN

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Volume of the periodical

29

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

31

Pages from-to

584-614

UT code for WoS article

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EID of the result in the Scopus database

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