.png){kind=icon}
.png){kind=icon}
Return
Efficient Methods for Natural Language Processing: A Survey
.png){kind=icon}
OA
AI
DOI：10.1162/tacl_a_00577.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Getting the most out of limited resources allows advances in natural language processing (NLP) research and practice while being conservative with resources. Those resources may be data, time, storage, or energy. Recent work in NLP has yielded interesting results from scaling; however, using only scale to improve results means that resource consumption also scales. That relationship motivates research into efficient methods that require less resources to achieve similar results. This survey relates and synthesises methods and findings in those efficiencies in NLP, aiming to guide new researchers in the field and inspire the development of new methods.
Keywords:
ATTENTION
Journal
T
IF:
6.9
Papers:
486
Citations:
5.7K
Organization
View more organizations