人工智能:如何将句子转化为动作

Question

我是人工智能领域的初学者.我可以使用GATE或任何其他自然语言处理程序，但我对此没有答案：

你知道如何评价两句话如何接近吗？即使有一个大的数据集？

你有什么建议吗？我可以使用排列的数目，长度，标记的数量，元电话，等等.但我不知道该用什么测试。

我的目标是：-“你好，贾维斯”-“你好，罗曼，你好吗？”

- "Hello arvis"
- "Hello Romain, how are you"

- "Hello mister Swift"
- I don't know what you are expecting, is this like "Hello Jarvis" ?
- Yes
- Ok, Hello Romain, How are you?

- "Hello mister swift, how are you?"
- I don't know what are you expecting.

例

1，2，3或n只是相似尺度的一个例子。

基础知识

- "Hello IA" is closed to
   - "Hello IA" by 0
   - "Hello AI" by 1 

- "Hello Jarvis" is closed to 
   - "Hello AI" by 2 
   - "Hello IA" by 2

- "Hello! mister Swift" is closed to
   - "Hello AI" by 3
   - "Hello IA" by 3
   - "Hello Jarvis" by 2

不太基本

- "Hello IA" is (token length, token word, grammatically, syntactically) closed to
   - "Hello IA" by (0,0,0,0)
   - "Hello AI" by (0,1,0,0) 

- "Hello Jarvis" is closed to 
   - "Hello AI" by (0,2,1,1) 
   - "Hello IA" by (0,2,1,1)

- "Hello! mister Swift" is closed to
   - "Hello AI" by (1,2,2,2)
   - "Hello IA" by (1,2,2,2)
   - "Hello Jarvis" by (1,2,2,2)

Answer 1

如果您已经准备好学习硬核NLP，则可以使用分类器来完成此任务。例如，查看一下斯坦福NLP (Java)或NLTK (Python)。

如果您想保持简单，并使用开箱即用的解决方案，请查看Wit.ai API，它完全满足您的需要，等等。

Answer 2

确定字符串相似性的一种方法是使用字符串内核。Lodhi等人写了一篇很好的论文，解释了这是如何工作的：

档案/LodhiSSCW02.pdf

为了使用CoreNLP创建一个分类器，您必须为字符串创建特性，例如n克、引理或类似的特性。