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...
| Publicado en: | Language Resources & Evaluation Vol. 52; no. 4; pp. 997 - 1020 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |