International Business Machines Corporation

Zilu Tang

Yara Rizk

Vatche Isahagian

Yasaman Khazaeni

Zhongshen Zeng

A data visualization method, system, and computer program product that includes identifying an intent from a natural language query in a conversation with a conversational system, utilizing verbiage from the natural language query and the intent to determine one or more data columns for visualization of results of the natural language query, and displaying a visualization of the determined one or more data columns.

Ontology-based data visualization

An embodiment for generating multi-turn dialog datasets for training of dialog or conversational agents. The embodiment may select an agent from a set of agents. The embodiment may automatically identify sentences from training data of the selected agent that satisfy a first sequential node condition of the selected random dialog node. The embodiment may automatically determine an approach for responding to the first sequential node condition of the selected random dialog node that either satisfies the first sequential dialog node condition, or inserts a multi-turn conversational property, and generate a corresponding response. The embodiment may automatically determine additional approaches for responding to each condition within subsequent sequential child nodes of the selected random dialog node that either satisfy each subsequent sequential child node condition or insert a multi-turn conversational property, and generate corresponding responses. The embodiment may collect and store data relating to the selected agent and the generated responses.

Growing community of inventors

Cambridge, MA, United States of America

Zilu Tang