Ambiguity in the output is a concern for NLG in general. This paper considers the case of structural ambiguity in spoken language generation. We present an algorithm which inserts ...
This paper presents a method for generating multiple paraphrases from ambiguous logical forms. The method is based on a chart structure with edges indexed on semantic information ...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...