Towards a general abstract meaning representation corpus for Brazilian Portuguese

Marco Antonio Sobrevilla Cabezudo, Thiago Alexandre Salgueiro Pardo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

16 Citas (Scopus)

Resumen

Meaning Representation (AMR) is a recent and prominent semantic representation with good acceptance and several applications in the Natural Language Processing area. For English, there is a large annotated corpus (with approximately 39K sentences) that supports the research with the representation. However, to the best of our knowledge, there is only one restricted corpus for Portuguese, which contains 1,527 sentences. In this context, this paper presents an effort to build a general purpose AMR-annotated corpus for Brazilian Portuguese by translating and adapting AMR English guidelines. Our results show that such approach is feasible, but there are some challenging phenomena to solve. More than this, efforts are necessary to increase the coverage of the corresponding lexical resource that supports the annotation.

Idioma originalInglés
Título de la publicación alojadaLAW 2019 - 13th Linguistic Annotation Workshop, Proceedings of the Workshop
EditorialAssociation for Computational Linguistics (ACL)
Páginas236-244
Número de páginas9
ISBN (versión digital)9781950737383
EstadoPublicada - 2019
Publicado de forma externa
Evento13th Linguistic Annotation Workshop, LAW 2019, held in conjunction with the Annual Meeting of the Association for Computational Linguistics, ACL 2019 - Florence, Italia
Duración: 1 ago. 2019 → …

Serie de la publicación

NombreLAW 2019 - 13th Linguistic Annotation Workshop, Proceedings of the Workshop

Conferencia

Conferencia13th Linguistic Annotation Workshop, LAW 2019, held in conjunction with the Annual Meeting of the Association for Computational Linguistics, ACL 2019
País/TerritorioItalia
CiudadFlorence
Período1/08/19 → …

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