In this paper, we present a new approach for learning procedural dialog systems from taskoriented textual resources in combination with light, non-expert supervision.
we assume access to task knowledge in textual form (e.g., instructional web pages) and examples of user intent statements (e.g., search query logs or dialog interactions).