arXiv:2009.02043
공식 코드 · Papers with Code
Data Readiness for Natural Language Processing
원문 초록
This document concerns data readiness in the context of machine learning and Natural Language Processing. It describes how an organization may proceed to identify, make available, validate, and prepare data to facilitate automated analysis methods. The contents of the document is based on the practical challenges and frequently asked questions we have encountered in our work as an applied research institute with helping organizations and companies, both in the public and private sectors, to use data in their business processes.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks
Evolutionary bagging for ensemble learning
Neural network accelerator for quantum control
Deep Reinforcement Learning for Multi-Agent Interaction
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19
토론
이 논문과 연결된 포럼 글이 아직 없습니다.