公开(公告)号：US11561969B2

公开(公告)日：2023-01-24

申请号：US16834850

申请日：2020-03-30

Applicant: Adobe Inc.

Inventor： Doo Soon Kim ,  Anthony M Colas ,  Franck Dernoncourt ,  Moumita Sinha ,  Trung Bui

IPC: G06F16/00 ,  G06F16/242 ,  G06F16/28

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for generating pairs of natural language queries and corresponding query-language representations. For example, the disclosed systems can generate a contextual representation of a prior-generated dialogue sequence to compare with logical-form rules. In some implementations, the logical-form rules comprise trigger conditions and corresponding logical-form actions for constructing a logical-form representation of a subsequent dialogue sequence. Based on the comparison to logical-form rules indicating satisfaction of one or more trigger conditions, the disclosed systems can perform logical-form actions to generate a logical-form representation of a subsequent dialogue sequence. In turn, the disclosed systems can apply a natural-language-to-query-language (NL2QL) template to the logical-form representation to generate a natural language query and a corresponding query-language representation for the subsequent dialogue sequence.

公开(公告)号：US20210303555A1

公开(公告)日：2021-09-30

申请号：US16834850

申请日：2020-03-30

Applicant: Adobe Inc.

Inventor： Doo Soon Kim ,  Anthony M Colas ,  Franck Dernoncourt ,  Moumita Sinha ,  Trung Bui

IPC: G06F16/242 ,  G06F16/28

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for generating pairs of natural language queries and corresponding query-language representations. For example, the disclosed systems can generate a contextual representation of a prior-generated dialogue sequence to compare with logical-form rules. In some implementations, the logical-form rules comprise trigger conditions and corresponding logical-form actions for constructing a logical-form representation of a subsequent dialogue sequence. Based on the comparison to logical-form rules indicating satisfaction of one or more trigger conditions, the disclosed systems can perform logical-form actions to generate a logical-form representation of a subsequent dialogue sequence. In turn, the disclosed systems can apply a natural-language-to-query-language (NL2QL) template to the logical-form representation to generate a natural language query and a corresponding query-language representation for the subsequent dialogue sequence.