Abstract: One embodiment provides a method, including: receiving, within a conversational agent creation framework used to create conversational agents that perform negotiations on behalf of users, (i) a selection of one of a plurality of conversational agent roles (ii) negotiation constraints for the selected role, and (iii) an object for the negotiation; creating a conversational agent (i) having the selected role and (ii) programmed with the negotiation constraints; identifying at least one other conversational agent (i) having an opposing role with respect to the object and (ii) being programmed with opposing role negotiation constraints; and conducting a conversational session between the conversational agent and the at least one other conversational agent, wherein the conversational session comprises the negotiation for the object and wherein the conversational agent and the at least one other conversational agent perform the negotiation in view of the negotiation constraints and the opposing role negotiation con

Abstract: One embodiment provides a method, including: receiving a natural language query from a user; identifying a plurality of interpretations for interpreting the natural language query, wherein the plurality of interpretations are based upon at least one ambiguity in the received natural language query; generating, for each of the plurality of interpretations, a plurality of example queries; generating, for each of the interpretations, both (i) an answer to the received natural language query and (ii) an answer to each of the generated plurality of example queries; and providing, to the user, (i) the generated answer for each interpretation of the natural language query and (ii) a plurality of question/answer pairs for each of the identified plurality of interpretations that assists in disambiguating the ambiguity, wherein each question/answer pair comprises at least one of the generated plurality of example queries and the corresponding generated answer to the example query.

Abstract: One embodiment provides a method, including: receiving a natural language query from a user; identifying a plurality of interpretations for interpreting the natural language query, wherein the plurality of interpretations are based upon at least one ambiguity in the received natural language query; generating, for each of the plurality of interpretations, a plurality of example queries; generating, for each of the interpretations, both (i) an answer to the received natural language query and (ii) an answer to each of the generated plurality of example queries; and providing, to the user, (i) the generated answer for each interpretation of the natural language query and (ii) a plurality of question/answer pairs for each of the identified plurality of interpretations that assists in disambiguating the ambiguity, wherein each question/answer pair comprises at least one of the generated plurality of example queries and the corresponding generated answer to the example query.