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Visually exploring and prioritizing discordant conversations with conversational bots

机译：可视化地探索与对话机器人之间不一致的对话并确定其优先级

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摘要

For each intent associated with a feature in a discordant conversation, one or more preceding discordant user utterances and one or more following discordant user utterances are collected. A discordant distribution over terms of the one or more preceding discordant user utterances and the one or more following discordant user utterances is created. For each intent associated with a feature in a non-discordant conversation, one or more preceding non-discordant user utterances and one or more following non-discordant user utterances are collected. A non-discordant distribution over terms of the one or more preceding non-discordant user utterances and the one or more following non-discordant user utterances is created. The discordant and non-discordant distributions are compared and the top-k terms that are most specific to user utterances associated with the corresponding discordance feature using Kullback-Leibler divergence are determined. An intent dominancy score is generated to provide an analytical view of the discordant conversation.

机译：对于与不和谐对话中的特征相关联的每个意图，收集一个或多个先前不和谐用户话语和一个或多个随后不和谐用户话语。创建了一个或多个先前的不和谐用户话语和一个或多个随后的不和谐用户话语的不和谐分布。对于与非不一致对话中的特征相关联的每个意图，收集一个或多个先前的非不一致用户话语以及一个或多个后续的非不一致用户话语。在一个或多个先前的非不一致用户话语和一个或多个随后的非不一致用户话语的术语上创建了非不一致的分布。比较不一致和非不一致分布，并使用Kullback-Leibler散度确定最特定于与相应不一致特征关联的用户话语的前k个项。生成意图支配分数，以提供不和谐对话的分析视图。

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公开/公告号US10777191B2

专利类型
公开/公告日2020-09-15

原文格式PDF
申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;
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申请/专利号US201816236576
发明设计人 MICHAL SHMUELI-SCHEUER;ORA PELED NAKASH;TOMMY SANDBANK;DAVID KONOPNICKI;MORDECHAI TAITELMAN;HEN SHKEDI;
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申请日2018-12-30
分类号G10L15/02;G10L17/26;G06F16;G10L15/18;G06F16/332;G06N5/02;H04L12/58;G10L15/22;G10L15/30;
国家 US
入库时间 2022-08-21 11:31:02

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