Hash2Vec: Feature Hashing for Word Embeddings

In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like document classification. In this work we show that feature hashing can be applied to obta...

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Detalles Bibliográficos
Autores principales: Argerich, Luis, Cano, Matías J., Torre Zaffaroni, Joaquín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2016
Materias:
Ciencias Informáticas
feature hashing
word embedding
Natural Language Processing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/56977
http://45jaiio.sadio.org.ar/sites/default/files/ASAI-10_0.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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