Efficient Estimate of Low-Frequency Words’ Embeddings Based on the Dictionary: A Case Study on Chinese

Efficient Estimate of Low-Frequency Words’ Embeddings Based on the Dictionary: A Case Study on Chinese

Obtaining high-quality embeddings of out-of-vocabularies (OOVs) and low-frequency words is a challenge in natural language processing (NLP). To efficiently estimate the embeddings of OOVs and low-frequency words, we propose a new method that uses the dictionary to estimate the embeddings of OOVs and...

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Détails bibliographiques
Auteurs principaux: Xianwen Liao, Yongzhong Huang, Changfu Wei, Chenhao Zhang, Yongqing Deng, Ke Yi
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
natural language processing
word embedding
BERT
dictionary
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Accès en ligne:https://doaj.org/article/e07fd774836c4f9d9dc1720ba49603f4
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https://doaj.org/article/e07fd774836c4f9d9dc1720ba49603f4

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