Automated generation of improved list-type answers in question answering systems

Abstract

A computer-implemented method comprising: receiving data comprising: a question provided by a user, a list that constitutes a direct answer to the question, and an introductory text to the list; using a first machine learning model to classify the introductory text as redundant or nonredundant, based on the data; using a second machine learning model to classify the list as belonging to a certain list type out of multiple list types, based on the list; and providing to the user: (a) the introductory text, only if the introductory text has been classified as nonredundant, (b) all or only a subset of the items of the list, (c) an indication as to the number of non-provided items of the list or the number of all items of the list, if only a subset of the items is being provided in (b), and (d) a description of the certain list type.

CPC Classifications