Algorithm for Negating Sentences

Question

I was wondering if anyone was familiar with any attempts at algorithmic sentence negation.

For example, given a sentence like \"This book is good\" provide any number of

Answer 1

While I'm not aware of any work that specifically looks at automatically generating negated sentences, I imagine a good place to start would be to read up on linguistics work in formal semantics and pragmatics. A good accessible introduction would be Steven C. Levinson's Pragmatics book.

One issue that I think you'll run into is that it can be very difficult to negate all the information that is conveyed by a sentence. For example, take:

John fixed the vase that he broke.

Even if you change this to John did not fix the vase that he broke, there is a presupposition that there is a vase and that John broke it.

Similarly, simply negating the sentence John did not stopped using drugs as John stopped using drugs still conveys that John, at one point, used drugs. A more thorough negation would be John never used drugs.

Some existing natural language processing (NLP) work that you might want to look at is MacCartney and Manning 2007's Natural Logic for Textual Inference. In this paper they use George Lakoff's notion of Natural Logic and Sanchez Valencia's monotonicity calculus to create software that automatically determines whether one sentence entails another. You could probably use some their techniques for detecting non-entailment to artificially construct negated and contradicting sentences.