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Semantics and Meaning Representation
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Semantics and Meaning Representation

A special issue of Languages (ISSN 2226-471X).

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 4065

Special Issue Editors

Dr. Rute Costa

E-Mail Website
Guest Editor
NOVA School of Social Sciences and Humanities, Linguistics Research Centre of NOVA University Lisbon, NOVA University Lisbon, 1099-085 Lisbon, Portugal
Interests: terminology; lexicography; lexical semantics; ontologies; LOD; corpus linguistics; lexicology
Special Issues, Collections and Topics in MDPI journals
Dr. Raquel Amaro

E-Mail Website
Guest Editor
NOVA School of Social Sciences and Humanities, Linguistics Research Centre of NOVA University Lisbon, NOVA University Lisbon, 1099-085 Lisbon, Portugal
Interests: computational linguistics; lexical semantics; corpus linguistics; semantics/syntax interface; lexicology; lexicography

Special Issue Information

Dear Colleagues,

This Languages Special Issue Semantics and Meaning Representation focuses on the new challenges that current research on semantics and meaning representation of natural languages must tackle to provide the grounds for today's interdisciplinary needs concerning data science, machine learning, knowledge organisation or artificial intelligence.

Semantics and meaning representation come hand-to-hand in the context of language modeling and processing but also when it comes to dealing with the organisation and use of knowledge. The way natural languages convey information and knowledge requires the representation of the meaning of lexical, syntactic, or pragmatic units, and the representation of the concepts in which the meanings are anchored. But it also requires the understanding on how lexical and conceptual systems interact and how their units are related to each other, allowing dynamic and context-sensitive reasoning, wide-ranging and versatile resources, and interoperability.

Going beyond the purely linguistic perspective (Geeraerts 2010, Riemer, 2015, Truswell 2019, Feist 2022) or the fundamentally formal representation models (Bojar et al. 2019, Hershkowitz and Donatelli 2021), the goal of this Special Issue is to discuss and explore theoretical and applied approaches to semantics and meaning representation that respond to the new challenges, either by presenting specific cases of new semantic/meaning resources, either by discussing the theoretical grounds, applications or short comes of the new paradigms such as the Linked Data or the Semantic Web.

We request that, prior to submitting a manuscript, interested authors initially submit a proposed title and an abstract of 400–600 words summarizing their intended contribution. Please send it to the guest editors ([email protected]|[email protected]). Abstracts will be reviewed by the guest editors for the purposes of ensuring proper fit within the scope of the special issue. Full manuscripts will undergo double-blind peer-review.

References

Bojar, Ondřej, Bernardi, Raffaella, & Webber, Bonnie. 2019. Representation of sentence meaning (A JNLE Special Issue). Natural Language Engineering, 25(4), 427–432. doi:10.1017/S1351324919000172.

Feist, Jim. 2022. Significance in Language: A Theory of Semantics. Routledge.

Geeraerts, Dirk. 2010. Theories of Lexical Semantics. Oxford: Oxford University Press. ISBN-13: 9780198700319 | ISBN-10: 0198700318, x+341 pp.

Hershkowitz, Daniel & Donatelli, Lucia (eds.). 2021. NLP and Semantics. Special Issue. Künstl Intell 35. Organ des Fachbereichs "Künstliche Intelligenz" der Gesellschaft für Informatik e.V.

Riemer, Nick (ed.). 2015. The Routledge Handbook of Semantics. 1st ed. Taylor and Francis.

Truswell, Robert (ed.). 2019. The Oxford Handbook of Event Structure. Oxford University Press.

Dr. Rute Costa
Dr. Raquel Amaro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Languages is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • meaning representation
  • lexical semantics
  • lexical representation
  • lexicon
  • LOD
  • lexicology
  • lexicography
  • terminology
  • knowledge representation

Published Papers (2 papers)

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Research

28 pages, 529 KiB  
Article
A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality
by Vanessa Bonato, Giorgio Maria Di Nunzio and Federica Vezzani
Languages 2024, 9(4), 121; https://doi.org/10.3390/languages9040121 - 27 Mar 2024
Viewed by 605
Abstract
Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of terms into a collection of minimum non-decomposable atoms of meaning. In this study, we propose a methodology targeted at enhancing the systematicity of semic analysis of medical terminology in order [...] Read more.
Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of terms into a collection of minimum non-decomposable atoms of meaning. In this study, we propose a methodology targeted at enhancing the systematicity of semic analysis of medical terminology in order to increase the quality of the creation of the set of atoms of meaning and improve the identification of concepts, as well as enhance specialized domain studies. Our approach is based on: (1) a semi-automatic domain-specific corpus-based extraction of semes, (2) the application of the property of termhood to address the diaphasic and the diastratic variations of language, (3) the automatic lemmatization of semes, and (4) seme weighting to establish the order of semes in the sememe. The paper explores the distinction between denotative and connotative semes, offering insights into polysemy and polyreferentiality in medical terminology. Full article
(This article belongs to the Special Issue Semantics and Meaning Representation)
19 pages, 4170 KiB  
Article
Are We Talking about the Same Thing? Modeling Semantic Similarity between Common and Specialized Lexica in WordNet
by Chiara Barbero and Raquel Amaro
Languages 2024, 9(3), 89; https://doi.org/10.3390/languages9030089 - 7 Mar 2024
Viewed by 969
Abstract
Specialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain. The specialized lexicon, i.e., lexical units that denote more specific concepts and knowledge emerging from specific domains, however, co-exists [...] Read more.
Specialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain. The specialized lexicon, i.e., lexical units that denote more specific concepts and knowledge emerging from specific domains, however, co-exists with the common lexicon, i.e., the set of lexical units that denote concepts and knowledge shared by the average speakers, regardless of their specific training or expertise. Communication between specialists and non-specialists can show a big gap between language(s), and therefore lexical units, used by the two groups. However, quite often, semantic and conceptual overlapping between specialized and common lexical units occurs and, in many cases, the specialized and common units refer to close concepts or even point to the same reality. Considering the modeling of meaning in functional lexical resources, this paper puts forth a solution that links common and specialized lexica within the WordNet model framework. We propose a new relation expressing semantic proximity between common and specialized units and define the conditions for its establishment. Besides contributing to the observation and understanding of the process of knowledge specialization and its reflex on the lexicon, the proposed relation allows for the integration of specialized and non-specialized lexicons into a single database, contributing directly to improving communication in specialist/non-specialist contexts, such as teaching–learning situations or health professional-patient interactions, among many others, where code-switching is frequent and necessary. Full article
(This article belongs to the Special Issue Semantics and Meaning Representation)
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