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An extractive-summarization baseline for the automatic detection of noteworthy utterances in multi-party human-human dialog

机译：提取摘要基线，用于自动检测多方人员对话中的重要讲话

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来源
《Spoken Language Technology Workshop (SLT), 2008 IEEE》||P.177-180|共4页
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作者
Banerjee Satanjeev; Rudnicky Alexander I.;
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原文格式 PDF
正文语种
中图分类工业技术;
关键词
Natural language interfaces;

机译：自然语言界面;

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1. A constraint satisfaction approach to context-sensitive utterance generation in multi-party dialogue systems [J] . Vladimir Popescu, Jean Caelen, Corneliu Burileanu International journal of speech technology . 2009,第2a3期

机译：多方对话系统中上下文相关话语生成的约束满足方法
2. Argumentative Ordering of Utterances for Language Generation in Multi-party Human–Computer Dialogue [J] . Vladimir Popescu, Jean Caelen Argumentation . 2009,第2期

机译：多方人机对话中语言生成的话语辩论性排序
3. Measuring the differences between human-human and human-machine dialogs [J] . David GRIOL, José MOLINA Advances in Distributed Computing And Artificial Intelligence Journal . 2015,第2期

机译：衡量人机对话与人机对话之间的差异
4. An extractive-summarization baseline for the automatic detection of noteworthy utterances in multi-party human-human dialog [C] . Banerjee Satanjeev, Rudnicky Alexander I. Workshop on Spoken Language Technology . 2008

机译：多党人体对话中自动检测值得注意的话语的提取摘要基线
5. Human-human multi-threaded spoken dialogs in the presence of driving. [D] . Shyrokov, Oleksandr. 2010

机译：人与人之间在驾驶时的多线程口语对话。
6. Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems [O] . Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, 2020

机译：使用复杂度相同的人机对话来调查口语对话系统的收件人检测
7. An Extractive-Summarization Baseline for the Automatic Detection of Noteworthy Utterances in Multi-Party Human-Human Dialog [O] . Banerjee Satanjeev, Rudnicky Alexander I 2008

机译：提取摘要基线，用于自动检测多方人与人对话中的重要讲话
8. Speaker-Specific Prosodic Models for Automatic Dialog Act Segmentation of Multi-Party Meetings [R] . Kolar, J. , Shriberg, E. , Liu, Y. 2006

机译：用于多方会议自动对话行为分割的特定于说话者的韵律模型

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