摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习-智能系统的最新研究结果已经发表。根据来自中国武汉的新闻，NewsRx记者报道，研究表明：“近年来，用于解决数学单词问题(MWPs)的神经网络模型的设计有了显著的增长。这些神经网络解决器采用不同的架构设计，并在不同的数据集上进行评估，这对公平有效的性能评估提出了挑战。”本研究的资助机构包括国家自然科学基金(NSFC)、国家自然科学基金(NSFC)、教育部人文社会科学青年基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing - Intelligent Systems have been published. According to news originating fro m Wuhan, People's Republic of China, by NewsRx correspondents, research stated, "In recent years, there has been a significant increase in the design of neural network models for solving math word problems (MWPs). These neural solvers have been designed with various architectures and evaluated on diverse datasets, posi ng challenges in fair and effective performance evaluation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Humanit ies and Social Sciences Youth Fund of the Ministry of Education.
NETL
NSTL