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Describing Linguistic Vagueness of Evaluative Expressions Using Fuzzy Natural Logic and Linguistic Constraints

  • Identification data

    Identifier: imarina:9280711
    Authors:
    Torrens-Urrutia, AdriaNovak, VilemDolores Jimenez-Lopez, Maria
    Abstract:
    In recent years, the study of evaluative linguistic expressions has crossed the field of theoretical linguistics and has aroused interest in very different research areas such as artificial intelligence, psychology or cognitive linguistics. The interest in this type of expressions may be due to its relevance in applications such as opinion mining or sentiment analysis. This paper brings together Fuzzy Natural Logic and Fuzzy Property Grammars to approach evaluative expressions. Our contribution includes the marriage of mathematical and linguistic methods for providing a formalism to deal with the linguistic vagueness of evaluative expressions by describing the syntax and semantics of these structures. We contribute to the study of evaluative linguistic expressions by proposing a formal characterization of them where the concepts of semantic prime, borderline evaluative expressions and markedness are defined and where the relation between the semantic constraints of evaluations and their sentiment can be established. A proof-of-concept of how to create a lexicon of evaluative expressions for future computational applications is presented. The results demonstrate that linguistic evaluative expressions are gradient, have sentiment, and that the evaluations work as a relation of hypernym and hyponym, the hypernym being a semantic prime. Our findings provide the basis for building an ontology of evaluative expressions for future computational applications.
  • Others:

    Author, as appears in the article.: Torrens-Urrutia, Adria; Novak, Vilem; Dolores Jimenez-Lopez, Maria;
    Department: Filologies Romàniques
    URV's Author/s: Jiménez López, María Dolores / Torrens Urrutia, Adrià
    Keywords: Sentiment analysis Model Linguistic gradience Linguistic constraints Grammaticality Fuzzy grammar Evaluative expressions
    Abstract: In recent years, the study of evaluative linguistic expressions has crossed the field of theoretical linguistics and has aroused interest in very different research areas such as artificial intelligence, psychology or cognitive linguistics. The interest in this type of expressions may be due to its relevance in applications such as opinion mining or sentiment analysis. This paper brings together Fuzzy Natural Logic and Fuzzy Property Grammars to approach evaluative expressions. Our contribution includes the marriage of mathematical and linguistic methods for providing a formalism to deal with the linguistic vagueness of evaluative expressions by describing the syntax and semantics of these structures. We contribute to the study of evaluative linguistic expressions by proposing a formal characterization of them where the concepts of semantic prime, borderline evaluative expressions and markedness are defined and where the relation between the semantic constraints of evaluations and their sentiment can be established. A proof-of-concept of how to create a lexicon of evaluative expressions for future computational applications is presented. The results demonstrate that linguistic evaluative expressions are gradient, have sentiment, and that the evaluations work as a relation of hypernym and hyponym, the hypernym being a semantic prime. Our findings provide the basis for building an ontology of evaluative expressions for future computational applications.
    Thematic Areas: Química Mathematics (miscellaneous) Mathematics (all) Mathematics General mathematics Engineering (miscellaneous) Computer science (miscellaneous) Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: adria.torrens@urv.cat mariadolores.jimenez@urv.cat
    Author identifier: 0000-0002-4786-5170 0000-0001-5544-3210
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2227-7390/10/15/2760
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Mathematics. 10 (15):
    APA: Torrens-Urrutia, Adria; Novak, Vilem; Dolores Jimenez-Lopez, Maria; (2022). Describing Linguistic Vagueness of Evaluative Expressions Using Fuzzy Natural Logic and Linguistic Constraints. Mathematics, 10(15), -. DOI: 10.3390/math10152760
    Article's DOI: 10.3390/math10152760
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Computer Science (Miscellaneous),Engineering (Miscellaneous),Mathematics,Mathematics (Miscellaneous)
    Sentiment analysis
    Model
    Linguistic gradience
    Linguistic constraints
    Grammaticality
    Fuzzy grammar
    Evaluative expressions
    Química
    Mathematics (miscellaneous)
    Mathematics (all)
    Mathematics
    General mathematics
    Engineering (miscellaneous)
    Computer science (miscellaneous)
    Astronomia / física
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