Pregled bibliografske jedinice broj: 975834
Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis
Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis // Natural Language Engineering, first view (2022), 1-31 doi:10.1017/S1351324922000274 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 975834 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Construction Grammar Conceptual Network:
Coordination-based graph method for semantic
association analysis
Autori
Perak, Benedikt ; Ban Kirigin, Tajana
Izvornik
Natural Language Engineering (1351-3249) First view
(2022);
1-31
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Corpus Linguistics, Word Sense Disambiguation, Semantics, Syntax, Dependency graph analysis
Sažetak
In this article we present the Construction Grammar Conceptual Network (ConGraCNet) 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/.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo, Informacijske i komunikacijske znanosti, Filologija
POVEZANOST RADA
Projekti:
HRZZ-UIP-2017-05-9219 - Formalno rasuđivanje i semantike (FORMALS) (Perkov, Tin, HRZZ - 2017-05) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-human-18-243 - Jezično izražavanje emocija: Razvoj računalnih metoda identifikacije i ontološkog modeliranja komunikacije psiholoških stanja u hrvatskom jeziku (EmoCNet) (EmoCNet) (Perak, Benedikt, NadSve - UNIRI Sredstva potpore znanstvenim istraživanjima) ( CroRIS)
Ustanove:
Filozofski fakultet, Rijeka,
Sveučilište u Rijeci, Fakultet za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Social Science Citation Index (SSCI)
- Arts & Humanities Citation Index (A&HCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus