Optimizing the production, maintenance and extension of lexical resources is one the crucial aspects impacting Natural Language Processing (NLP). A second aspect involves optimizing the process leading to their integration in applications. With this respect, we believe that the production of a consensual specification on lexicons can be a useful aid for the various NLP actors. Within ISO, the purpose of LMF is to define a standard for lexicons. LMF is a model that provides a common standardized framework for the construction of NLP lexicons. The goals of LMF are to provide a common model for the creation and use of lexical resources, to manage the exchange of data between and among these resources, and to enable the merging of large number of individual electronic resources to form extensive global electronic resources. In this paper, we describe the work in progress within the sub-group ISO-TC37/SC4/WG4. Various experts from a lot of countries have been consulted in order to take into account best practices in a lot of languages for (we hope) all kinds of NLP lexicons.
Lexical Markup Framework (LMF)
Monachini M;Soria C
2006
Abstract
Optimizing the production, maintenance and extension of lexical resources is one the crucial aspects impacting Natural Language Processing (NLP). A second aspect involves optimizing the process leading to their integration in applications. With this respect, we believe that the production of a consensual specification on lexicons can be a useful aid for the various NLP actors. Within ISO, the purpose of LMF is to define a standard for lexicons. LMF is a model that provides a common standardized framework for the construction of NLP lexicons. The goals of LMF are to provide a common model for the creation and use of lexical resources, to manage the exchange of data between and among these resources, and to enable the merging of large number of individual electronic resources to form extensive global electronic resources. In this paper, we describe the work in progress within the sub-group ISO-TC37/SC4/WG4. Various experts from a lot of countries have been consulted in order to take into account best practices in a lot of languages for (we hope) all kinds of NLP lexicons.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Francopoulo G | it |
| dc.authority.people | George M | it |
| dc.authority.people | Calzolari N | it |
| dc.authority.people | Monachini M | it |
| dc.authority.people | Bel N | it |
| dc.authority.people | Pet M | it |
| dc.authority.people | Soria C | it |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/19 19:19:11 | - |
| dc.date.available | 2024/02/19 19:19:11 | - |
| dc.date.issued | 2006 | - |
| dc.description.abstracteng | Optimizing the production, maintenance and extension of lexical resources is one the crucial aspects impacting Natural Language Processing (NLP). A second aspect involves optimizing the process leading to their integration in applications. With this respect, we believe that the production of a consensual specification on lexicons can be a useful aid for the various NLP actors. Within ISO, the purpose of LMF is to define a standard for lexicons. LMF is a model that provides a common standardized framework for the construction of NLP lexicons. The goals of LMF are to provide a common model for the creation and use of lexical resources, to manage the exchange of data between and among these resources, and to enable the merging of large number of individual electronic resources to form extensive global electronic resources. In this paper, we describe the work in progress within the sub-group ISO-TC37/SC4/WG4. Various experts from a lot of countries have been consulted in order to take into account best practices in a lot of languages for (we hope) all kinds of NLP lexicons. | - |
| dc.description.affiliations | Francopoulo G. (INRIA-Loria, Villiers Les Nancy), George M. (ANSI, Washington), Bel N. (UPF-Barcelona), Pet M. (Mitre-Washington). | - |
| dc.description.allpeople | Francopoulo G.; George M.; Calzolari N.; Monachini M.; Bel N.; Pet M.; Soria C. | - |
| dc.description.allpeopleoriginal | Francopoulo G.; George M.; Calzolari N.; Monachini M.; Bel N.; Pet M.; Soria C. | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 3 | - |
| dc.identifier.isbn | 2-9517408-2-4 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/65018 | - |
| dc.language.iso | eng | - |
| dc.publisher.country | FRA | - |
| dc.publisher.name | European Language Resources Association (ELRA) - Evaluations and Language resources Distribution Agency (ELDA) | - |
| dc.publisher.place | Paris | - |
| dc.relation.conferencename | LREC 2006: 5th International Conference on Language Resources and Evaluation | - |
| dc.relation.conferenceplace | Genoa | - |
| dc.relation.firstpage | 233 | - |
| dc.relation.lastpage | 236 | - |
| dc.title | Lexical Markup Framework (LMF) | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 84633 | - |
| iris.orcid.lastModifiedDate | 2024/03/01 13:44:37 | * |
| iris.orcid.lastModifiedMillisecond | 1709297077831 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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