Automatic Taxonomy Classification by Pretrained Language Model
In recent years, automatic ontology generation has received significant attention in information science as a means of systemizing vast amounts of online data. As our initial attempt of ontology generation with a neural network, we proposed a recurrent neural network-based method. However, updating...
Guardado en:
Autores principales: | Ayato Kuwana, Atsushi Oba, Ranto Sawai, Incheon Paik |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/21573847536445778b0375f914c28735 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Textual Adversarial Attacking with Limited Queries
por: Yu Zhang, et al.
Publicado: (2021) -
A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media
por: Munif Alotaibi, et al.
Publicado: (2021) -
Integration Strategy and Tool between Formal Ontology and Graph Database Technology
por: Stefano Ferilli
Publicado: (2021) -
Improving Text-to-Code Generation with Features of Code Graph on GPT-2
por: Incheon Paik, et al.
Publicado: (2021) -
Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre
por: Benjamin Hunter, et al.
Publicado: (2021)