Incorporating Linguistic Knowledge for Learning Distributed Word Representations

Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashion, which, however, do not take rich linguistic kno...

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Detalles Bibliográficos
Autores principales: Wang, Yan, Liu, Zhiyuan, Sun, Maosong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395361/
https://www.ncbi.nlm.nih.gov/pubmed/25874581
http://dx.doi.org/10.1371/journal.pone.0118437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395361/
https://www.ncbi.nlm.nih.gov/pubmed/25874581
http://dx.doi.org/10.1371/journal.pone.0118437

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