Towards Cross-lingual Representation of Prototypical Lexical Knowledge

In order to be concretely effective, many Natural Language Processing (NLP) applications require the availability of lexical resources providing varied, broadly shared, and language-unbounded (i.e., not limited to any specific language or linguistic system) lexical information. However, state-of-the...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:URI:https://journals.openedition.org/ijcol,
المؤلفون الرئيسيون: Grasso, Francesca, Di Caro, Luigi
التنسيق: Article ou chapitre numérique
اللغة:Anglais
منشور في: IJCoL 2024
الوصول للمادة أونلاين:Accès Université d'Orléans et IFPM
Accès Université d'Orléans et IFPM
id openedition-oai:revues.org:ijcol_1237
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spelling openedition-oai:revues.org:ijcol_1237 https://doi.org/10.4000/ijcol.1237 urn:doi:10.4000/ijcol.1237 en https://journals.openedition.org/ijcol/1237 2024-04-22T02:00:00Z info:eu-repo/semantics/openAccess article info:eu-repo/semantics/article urn:handle:20.500.13089/w988 https://creativecommons.org/licenses/by-nc-nd/4.0/ Towards Cross-lingual Representation of Prototypical Lexical Knowledge IJCoL Accademia University Press info:eu-repo/semantics/reference/issn/2499-4553 URI:https://journals.openedition.org/ijcol Grasso, Francesca Di Caro, Luigi In order to be concretely effective, many Natural Language Processing (NLP) applications require the availability of lexical resources providing varied, broadly shared, and language-unbounded (i.e., not limited to any specific language or linguistic system) lexical information. However, state-of-the-art knowledge models typically focus on specific levels of semantic analysis rather than adopting such a comprehensive and cross-lingual approach to lexical knowledge. This is often due to the theoretical paradigms on which such resources are based, each addressing the semantic phenomenon from a (de)finite perspective. In this paper, we first suggest a maximalist approach to lexical semantics to pursue through the idea of semantic prototype and linguistic representativeness as easily applicable to textual corpora. Starting from this conceptual framework, we thus propose a novel corpus-based automatable methodology for knowledge modeling based on a multilingual word alignment mechanism. This model enables the retrieval and encoding of prototypical, language-unbounded, and naturally disambiguated lexical knowledge in the form of diversified conceptual links between words and their senses. Results from a simple implementation of the proposal show relevant outcomes that are not found in other resources. Finally, different application opportunities of the proposed model will be presented.
collection OpenEdition Journal
language Anglais
format Article ou chapitre numérique
building 0/Bibliothèque numérique/
1/Bibliothèque numérique/OpenEdition Journals/
description In order to be concretely effective, many Natural Language Processing (NLP) applications require the availability of lexical resources providing varied, broadly shared, and language-unbounded (i.e., not limited to any specific language or linguistic system) lexical information. However, state-of-the-art knowledge models typically focus on specific levels of semantic analysis rather than adopting such a comprehensive and cross-lingual approach to lexical knowledge. This is often due to the theoretical paradigms on which such resources are based, each addressing the semantic phenomenon from a (de)finite perspective. In this paper, we first suggest a maximalist approach to lexical semantics to pursue through the idea of semantic prototype and linguistic representativeness as easily applicable to textual corpora. Starting from this conceptual framework, we thus propose a novel corpus-based automatable methodology for knowledge modeling based on a multilingual word alignment mechanism. This model enables the retrieval and encoding of prototypical, language-unbounded, and naturally disambiguated lexical knowledge in the form of diversified conceptual links between words and their senses. Results from a simple implementation of the proposal show relevant outcomes that are not found in other resources. Finally, different application opportunities of the proposed model will be presented.
author Grasso, Francesca
Di Caro, Luigi
spellingShingle Grasso, Francesca
Di Caro, Luigi
Towards Cross-lingual Representation of Prototypical Lexical Knowledge
author_facet Grasso, Francesca
Di Caro, Luigi
author_sort Grasso, Francesca
title Towards Cross-lingual Representation of Prototypical Lexical Knowledge
title_short Towards Cross-lingual Representation of Prototypical Lexical Knowledge
title_full Towards Cross-lingual Representation of Prototypical Lexical Knowledge
title_fullStr Towards Cross-lingual Representation of Prototypical Lexical Knowledge
title_full_unstemmed Towards Cross-lingual Representation of Prototypical Lexical Knowledge
title_sort towards cross-lingual representation of prototypical lexical knowledge
publisher IJCoL
publishDate 2024
container_title URI:https://journals.openedition.org/ijcol
url https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.4000/ijcol.1237
https://ezproxy.univ-orleans.fr/login?url=https://journals.openedition.org/ijcol/1237
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