Python 哪种模型（机器学习/神经网络）用于选择性输入？_Python_Algorithm_Nlp_Artificial Intelligence

Python 哪种模型（机器学习/神经网络）用于选择性输入？

python algorithm nlp artificial-intelligence

Python 哪种模型（机器学习/神经网络）用于选择性输入？,python,algorithm,nlp,artificial-intelligence,Python,Algorithm,Nlp,Artificial Intelligence,将包含多个语句或故事的段落输入作为一个变量，将词性标签、地点、人员、组织等注释作为另一个变量，并将包含一组问题的目标变量作为段落的一部分，例如： Column 1: *Sentences Person1 makes novel reading lovable. However, his oration is very bad. He works as a sales agent at XYZ in NZ* Col

将包含多个语句或故事的段落输入作为一个变量，将词性标签、地点、人员、组织等注释作为另一个变量，并将包含一组问题的目标变量作为段落的一部分，例如：

Column 1: *Sentences                      
Person1 makes novel reading lovable. However, his oration is very bad.                   
He works as a sales agent at XYZ in NZ*

Column 2: *Labels
{Noun: {Person1, dictionary},        
Verb: {reading, oration},            
Organization: {XYZ},                 
Location: {NZ}}*                      

Column 3: *Target Variables
Where does person1 live?
How is his taste in oration?
Which organization does person1
How does person1 help others?*

基于上述输入数据，哪种算法将其作为输入？注：如果给出了一组新的陈述，则根据段落和相关标签的相似性生成问题