There are models that help the mapping from frames to delexicalized sentences.

Transition Models

The opposite process of delexicalization.

Reversion

Delexicalization is the process of replacing specific words in the training set that represent slot values with a generic placeholder token representing the slot, as shown below:

Hamilton College

In real practice, we are unlikely to do data training with every possible attribute in many different worded sentences. Thus, it's common to increase the generality of the training examples.


Method(s) to Improve Generality

An on-going but a helpful book resource about NLP
https://web.stanford.edu/~jurafsky/slp3/

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