问题描述
我正在考虑一个项目，该项目可能使用与快速添加"将自然语言解析为某种程度的语义可以理解的方式类似的功能.我有兴趣更好地理解这一点，并想知道您对如何实现这一想法有何看法.
Am thinking about a project which might use similar functionality to how "Quick Add" handles parsing natural language into something that can be understood with some level of semantics. I'm interested in understanding this better and wondered what your thoughts were on how this might be implemented.
如果您不熟悉快速添加"是什么，请查看关于它的Google KB .
If you're unfamiliar with what "Quick Add" is, check out Google's KB about it.
6/4/10更新
关于自然语言解析"(NLP)的其他研究得出的结果比快速添加"之类的东西实际实现的范围要广得多.鉴于此功能需要特定类型的输入，而不是真正的自由格式文本，因此我认为这是NLP的更狭义的实现.如果有人可以提出我可以研究的更狭窄的主题问题，而不是整个NLP的建议，那将不胜感激.
6/4/10 Update
Additional research on "Natural Language Parsing" (NLP) yields results which are MUCH broader than what I feel is actually implemented in something like "Quick Add". Given that this feature expects specific types of input rather than the true free-form text, I'm thinking this is a much more narrow implementation of NLP. If anyone could suggest more narrow topic matter that I could research rather than the entire breadth of NLP, it would be greatly appreciated.
也就是说，我找到了一个很好的有关NLP的资源集合包括出色的常见问题解答.
That said, I've found a nice collection of resources about NLP including this great FAQ.
推荐答案
似乎没有解决此问题的狭窄方法.我想避免不得不花费整个NLP来找出解决方案，但是我没有找到其他选择.如果以后找到一个非常好的解决方案，我将对其进行更新.
It would seem that there's really no narrow approach to this problem. I wanted to avoid having to pull along the entirety of NLP to figure out a solution, but I haven't found any alternative. I'll update this if I find a really great solution later.
这篇关于您如何看待“快速添加" Google日历中的功能有效吗?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！