- Unlike formal languages (like C), natural language is ambiguous.
- Words have multiple meanings (e.g. run, can) and multiple
syntactic classes (note, can, run).
- There is ambiguity in sentences (E.g. I saw the girl with the
- There is referential ambiguity (what does it refer to?)
- Peole don't usually see this ambiguity, but it is really hard
- When parsing, we usually use semantics to resolve the ambiguity.
- We have all kinds of prior knowledge that help us resolve
- These are big issues in NLP.
- While the technology is not perfect, it can be used today.