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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11320/23:NK8VB2V7

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

"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/."

Název v anglickém jazyce

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

Popis výsledku anglicky

"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/."

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

"Natural Language Engineering"

ISSN

1351-3249

e-ISSN

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Svazek periodika

29

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

31

Strana od-do

584-614

Kód UT WoS článku

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EID výsledku v databázi Scopus

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