Artificial intelligence 如何解决这些概念依赖性问题?

Artificial intelligence 如何解决这些概念依赖性问题?,artificial-intelligence,Artificial Intelligence,编写概念依赖关系表示 在下列声明中: John shot Mary. John threw a ball to Mary. John saw Mary John ate a frog. John went to New York. John sold his car to Bill. John killed Mary. John threw a ball to Mary. John saw Mary. The ball fell from the roof. Mary knows that Cl

编写概念依赖关系表示 在下列声明中:

John shot Mary.
John threw a ball to Mary.
John saw Mary
John ate a frog.
John went to New York.
John sold his car to Bill.
John killed Mary.
John threw a ball to Mary.
John saw Mary.
The ball fell from the roof.
Mary knows that Clinton is president.
John flew to New York.
John gave Mary a book by handing it to her.

有谁能帮我解答这个问题吗?

您可以将它们绘制为图表,或者用Lisp风格的括号表达式表示它们。一般来说,第一个元素是CD理论中使用的语义原语,其次是可能的槽和填充词。您对PPs(“图片制作人”,即名词组)规范的详细程度取决于您

以下是约翰吃青蛙的一个例子:

对于从句,您需要在相应的位置上显示CD,因为玛丽知道克林顿是总统:


在嵌入式命题中,总统并不是一个真正的“国家”,但我不知道有什么方式可以表达CD中的角色。mloc基本上意味着克林顿是总统的概念存在于玛丽的意识中

那么,到目前为止你试过什么?你能告诉我们你的第一次尝试吗?
(ingest (actor (person (name John)))
        (object (animal frog)
        (tense past))
(mloc (actor (person (name Mary))
      (con (is (actor (person (name Clinton)))
               (state (president)))))