公开(公告)号：US20150379984A1

公开(公告)日：2015-12-31

申请号：US14845634

申请日：2015-09-04

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Amanda STENT ,  Srinivas BANGALORE

IPC: G10L15/06 ,  G10L15/04 ,  G10L15/00 ,  G10L25/12

CPC classification number: G10L15/063 ,  G06F17/22 ,  G06F17/2241 ,  G06F17/227 ,  G10L15/005 ,  G10L15/04 ,  G10L15/08 ,  G10L15/18 ,  G10L15/183 ,  G10L15/22 ,  G10L25/12 ,  G10L2015/0638

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.

Abstract translation: 本文公开了用于对话建模的系统，计算机实现的方法和计算机可读介质。 该方法包括接收注释以指示对话行为和任务/子任务信息的口头对话，用从层级，基于解析的对话模型解析口头对话，该对话模型从左向右逐渐操作，并且仅分析前一对话上下文以产生解析的口语对话 ，并构建解析的语音对话的功能任务结构。 该方法还可以用解析的口头对话的功能任务结构或用解析的口语对话的功能性任务结构对用户话语的计划系统响应来解释用户话语。 基于分析的对话模型可以是移位减少模型，起始完成模型或连接路径模型。

公开(公告)号：US20200302915A1

公开(公告)日：2020-09-24

申请号：US16889672

申请日：2020-06-01

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Amanda STENT ,  Srinivas BANGALORE

IPC: G10L15/06 ,  G10L15/08 ,  G10L15/183 ,  G06F40/12 ,  G06F40/137 ,  G10L15/22 ,  G10L15/00 ,  G10L15/04 ,  G10L25/12

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.

公开(公告)号：US20180261206A1

公开(公告)日：2018-09-13

申请号：US15980201

申请日：2018-05-15

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Amanda STENT ,  Srinivas BANGALORE

IPC: G10L15/06 ,  G10L15/08 ,  G06F17/22 ,  G10L15/00 ,  G10L25/12 ,  G10L15/22 ,  G10L15/183 ,  G10L15/04 ,  G10L15/18

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.