Interactive Classification by Asking Informative Questions
Lili Yu, Howard Chen, Sida I. Wang, Tao Leí, Yoav Artzi · 2020
We study the potential for interaction in natural language classification.We add a limited form of interaction for intent classification, where users provide an initial query using natural language, and the system asks for additional information using binary or multichoice questions.At each turn, our system decides between asking the most informative question or making the final classification prediction.The simplicity of the model allows for bootstrapping of the system without interaction data, instead relying on simple crowdsourcing tasks.We evaluate our approach on two domains, showing the benefit of interaction and the advantage of learning to balance between asking additional questions and making the final prediction.What is the bill length of the bird: shorter, similar, or longer than head?Shorter than head.Is the bird underpart orange?Yes.The identified bird is: American Redstart FAQ Suggestion What data limits apply when roaming internationally?American Crow Bobolink … American Redstart How do I sign up for Sprint Global Roaming? . . .How do I purchase a High Speed Data Roaming Pass?Bird Identification Travel out of country.Do you need to activate global roaming service?Yes.Do you want high speed data roaming?No.