The impact of corpus domain on word representation: a study on Persian word embeddings.

Word embedding, has been a great success story for natural language processing in recent years. The main purpose of this approach is providing a vector representation of words based on neural network language modeling. Using a large training corpus, the model most learns from co-occurrences of words...

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Publicado en:	Language Resources & Evaluation Vol. 52; no. 4; pp. 997 - 1020
Autores principales:	Hadifar, Amir, Momtazi, Saeedeh
Formato:	Artículo
Publicado:	Springer Nature Dec2018
Materias:	Natural language processing Artificial neural networks Persian language Semantic computing Computational mathematics
Acceso en línea:	Ver este registro en EBSCOhost